## **Senior Full-Stack Engineer (JavaScript / TypeScript)**
We are looking for a **Senior Full-Stack Engineer** with a strong JavaScript foundation to join our team in a long-term client engagement. This role is **frontend-leaning** and centered on **plain JavaScript and TypeScript**, working within a mature and evolving codebase. The environment includes **Angular**, **PHP**, **Node.js** and **AWS**, and requires comfort navigating a multi-technology stack.
The ideal candidate is adaptable, communicates clearly, and can contribute beyond pure implementation by supporting maintainability, knowledge sharing, and team growth.
### **Key Responsibilities**
- Develop and maintain frontend-heavy applications primarily using **plain JavaScript and TypeScript** in a complex existing codebase.
- Enhance and maintain frontend features.
- Contribute to backend development using **PHP or Node.js**.
- Collaborate on cloud-related work, including applications and services hosted on **AWS**.
- Participate in technical discussions focused on maintainability, scalability, and gradual modernization.
- Deliver knowledge transfer (KT) sessions and support onboarding or upskilling of team members.
- Act as a subject matter expert in JavaScript and selected internal systems.
- Provide guidance and light mentorship to other engineers, helping raise overall team capability.

### **Required Skills & Experience**
- Strong professional experience with **JavaScript and TypeScript**.
- Solid background in frontend application development and familiarity with **Angular**
- Full-stack experience, including backend work with **PHP or Node.js**.
- Familiarity with **AWS** and cloud-hosted application environments.
- Comfort working across a **loosely defined or evolving tech stack**.
- Strong understanding of frontend architecture, performance, and long-term maintainability.
- Clear communication skills with both technical and non-technical stakeholders.

### **Nice to Have**
- Deeper experience with **AWS** services or cloud architecture.
- Experience contributing to technical leadership or early architectural discussions.
- Prior experience mentoring or coaching developers.
- UI/UX sensibility or strong attention to usability and user experience.

React JavaScript

8356 - React JavaScript

JR 4008

**About This Job**

Manages software development team, oversees project timelines, delegates tasks, and ensures code quality. Develops and implements software solutions, troubleshoots technical issues, and collaborates with cross-functional teams to deliver high-quality products.
- Architects new software products. Defines software platforms, components, and interfaces and selects development tools.
- Designs complicated software products, modules, and routines. Selects and applies software development tools and methodologies for projects.
- Counsels product and development planners on new and improved development technologies, methodologies and tools.
- Provides technology direction for software development strategies and plans. Provides technical guidance to development teams.
- Collaborates with team members to design software solutions.
- Writes and tests code for software applications.
- Manages software development projects.

Must have practival experience with C#, .net core, Angular, react, and SQL

As part of the role they must lead the team and the developers and assist with any technical challenges and also estimate the deliverables in proper way.

C# C#

8351 - C# C#

**Senior Application Developer – AI Course Bots**

**About the Role:**

We are seeking an exceptional Senior Application Developer to contribute to the development of revolutionary course bots using generative AI technologies on AWS Cloud. This role will play a crucial part in shaping the future of business education by leveraging cutting-edge AI to create innovative, interactive learning experiences.

Key Job Responsibilities:
• Develop enterprise-grade AI-powered course bots, ensuring scalability, performance, extensibility, and integration with existing systems.
• Implement the technical vision for the course bot platform, including working with appropriate AI models, APIs, and AWS infrastructure components in a highly collaborative environment.
• Collaborate with faculty, product managers, and educational technology experts to translate pedagogical requirements into technical implementations for the AI course bots.
• Implement robust, scalable, and secure cloud-based solutions on AWS to support the deployment and operation of course bots.
• Follow best practices for software development, including coding standards, review processes, and testing methodologies specific to AI-driven applications.
• Integrate cutting-edge generative AI technologies, ensuring the course bots remain at the forefront of educational technology.
• Implement data management solutions, including data ingestion, storage, and retrieval mechanisms to support the AI models powering the course bots.
• Develop solutions for seamless integration of course bots with our existing learning management systems and digital platforms.
• Implement monitoring, logging, and analytics systems to track bot performance, usage patterns, and educational outcomes.
• Implement security and privacy measures to protect sensitive educational data and ensure compliance with relevant regulations such as FERPA.
• Collaborate with cross-functional teams to align technical implementations with business goals, educational objectives, and user experience requirements.
• Stay abreast of emerging trends in AI, cloud computing, and educational technology, and propose innovative applications to enhance the course bot platform.

Required Qualifications:
• Bachelor’s degree or equivalent in Computer Science, Software Engineering, or a related field.
• 5+ years of software development experience, with a focus on cloud-native applications.
• Experience with serverless architectures, microservices, and event-driven design patterns.
• Experience with Retrieval-Augmented Generation (RAG) techniques, including recent approaches such as GraphRAG and Contextual Retrieval.
• Experience with generative AI evaluation frameworks.
• Experience with multi-agent frameworks such as AutoGen, LangGraph, and others.
• Strong understanding of AWS services, particularly in areas of AI/ML (e.g., SageMaker, Bedrock), serverless computing (e.g., Lambda, Step Functions), and data management (e.g., S3, DynamoDB, RDS).
• Strong proficiency with production coding in Python and JavaScript/TypeScript, with experience developing AI and NLP applications.
• Hands-on experience with generative AI technologies, including pre-trained models (e.g., BERT) and autoregressive large language models (e.g., from OpenAI, Anthropic, Cohere, Google, etc.).
• Experience designing and implementing RESTful APIs and GraphQL services.
• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, and automated testing.
• Understanding of data privacy, security best practices, and compliance requirements in educational settings.
• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Experience with Agile methodologies and project management tools.

Preferred Qualifications:
• Understanding of educational technology trends and e-learning platforms.
• Experience with infrastructure as code using Terraform or AWS CDK.
• Advanced knowledge of LLMs and machine learning algorithms.
• Contributions to open-source projects or academic publications in relevant fields.
• Knowledge of modern front-end frameworks (e.g., React, Vue.js) and their integration with backend services.

What We Offer:
• Opportunity to work on cutting-edge AI technologies in education at a world-renowned institution.
• Collaboration with world-class faculty and researchers.
• Professional development and continuous learning opportunities.
• The chance to make a significant impact on the future of business education through innovative technology.

If you’re a skilled developer passionate about leveraging AI to transform education and have the technical expertise to contribute to innovative projects on AWS Cloud, we invite you to apply for this exciting role. Join us in shaping the future of business education through advanced AI technologies.

AI AI

8350 - AI AI

**Sr. Data Scientist**

Be a pioneer in business, education, and global impact by joining the team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?
As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies.
In this capacity, you will translate the needs of our cross-functional stakeholders into predictive models and production-grade algorithms and platforms and will drive value creation through personalized engagement, expanded reach, and experimental new ways of learning that will continue the organization's leadership in education, business, and societal impact.
You will contribute to the creation, delivery, and production of specific data science, machine learning and AI products for internal stakeholders; directly mentor other data professionals, data analysts, and machine learning engineers. In conjunction with the key partners, you will make technical decisions on data, technology, and ways of working.
**Duties and Responsibilities:**
- Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
- Apply data science, machine learning, and AI techniques to derive business value from the full range of internal and external data sets in a cloud environment.
- Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
- Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
- Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
- Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value.
- Embody the values and passions that characterize the organization, with empathy to engage with colleagues from a wide range of backgrounds.
- Promote data science, machine learning, AI, and digital and emerging technologies in relevant channels through community engagement, networking, speeches, and publications as applicable.
- Complete other responsibilities as assigned.

**Basic Qualifications**
- 3-5 years’ post-secondary education or relevant work experience

**Additional Qualifications And Skills** **Other Required Qualifications:**
- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- 2-3 years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- 3-5 years’ experience with Python and SQL.
- Experience with cloud computing platforms and tools (AWS, GCP, or other).
- Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)
- Proficiency with data visualization tools (D3.js, R Shiny, Looker, Streamlit, or similar).
- Experience operationalizing end-to-end machine learning applications.

**Other Preferred Qualifications:**
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.

8349 - AI AI

Full Stack Web Developer

Position Overview:

We are looking for a Full Stack Web Developer to join our high performing engineering team that focuses on our award winning and industry leading media and learning products. You will work on an agile, outcomes-driven team and act as a trusted partner to the product owner and agile project manager. Reporting to the Director of Engineering, you will be developing world-class software that helps hundreds of thousands of learners improve their work life every day.

Position Responsibilities:
· Develop high-quality software design and architecture
· Identify, prioritize, and execute tasks in the software development life cycle
· Develop tools and applications by producing clean, efficient code
· Work cross-functionally to drive impact across the SDLC, collaborating with product managers to clarify requirements and break down work, reviewing code written by others, assisting with design for testability, and using data to drive decisions
· Contribute to the software engineering body of knowledge
· Ensure software is up to date with the latest technologies

Position Requirements:
· Full-Stack experience.
· 3+ years of experience developing **React/Java** applications.
· Experience in developing distributed web applications using **Java** 8/11/21 platform and frameworks such as Spring/Spring Boot and Hibernate.
· Experience building applications that conform to high standards for security and data privacy
· Experience with Writing cross-browser HTML, CSS, and TypeScript
· Experience with React-based frameworks/libraries
· Writing unit tests (Jest, React Testing Library)
· CSS preprocessors (Sass, Less)
· Developing accessible and responsive web pages
· Front-end tooling (Webpack, ESLint, NPM)
· Content Management Systems (CMS) integrations
· Working experience with relational databases (e.g., MySQL, Aurora)
· Working experience in developing RESTful APIs and application of microservices architecture
· Analytical mind with problem-solving aptitude
· Experience developing applications on AWS cloud and good knowledge of various AWS services (e.g., Cloudfront, Beanstalk, Lambda, S3, SQS, SNS, ECS/ECR)
· Experience using system monitoring tools (e.g., New Relic, Splunk) and automated testing frameworks
· Hands-on experience with containerization technologies (e.g., Docker) and CI/CD pipelines (e.g., Jenkins).
· Good understanding of the software development lifecycle
· Ability to work independently
· Excellent organizational and communication skills

You’ll stand out if you have:
· Advanced skills developing complex web applications using React
· Familiarity with Adobe Target, Analytics, and Tag Manager
· Understanding of internet-based media distribution solutions, video streaming standards and interactive media formats

Java Java

8344 - Java Java

Key Responsibilities
• Architect and develop native iOS applications using Swift and SwiftUI, ensuring performance, scalability, and security.
• Provide architectural guidance and code reviews for Android development using Kotlin.
• Collaborate with cross-functional teams including Product, Design, Backend Engineering, and QA to deliver seamless mobile experiences.
• Lead technical initiatives to improve mobile CI/CD pipelines, crash analytics, and performance monitoring.
• Implement observability and monitoring solutions using tools like Firebase and Xcode Instruments.
• Mentor junior mobile engineers and promote best practices across iOS and Android development.
• Partner with business stakeholders to translate product requirements into scalable mobile solutions.
• Operate in an AI-driven SDLC environment, leveraging tools like GitHub Copilot and Xcode AI integrations
• Implementing and managing Datadog dashboards, Google and Adobe analytics. monitors, and alerts for mobile applications
Qualifications
• 5+ years of mobile development experience, with 3+ years in a technical leadership role focused on iOS.
• Expert-level proficiency in Swift, Swift UI, Combine, and UIKit.
• Working knowledge of Kotlin, and Android architecture components.
• Experience with Azure DevOps, Git, Fastlane, and Firebase.
• Familiarity with App Store and Google Play deployment processes, including TestFlight and internal testing tracks.
• Familiarity with Azure/AWS Cloud, including Azure Functions, Blob Storage, S3 and Service Bus.
• Strong understanding of RESTful APIs, OAuth2, and mobile security best practices.
• Strong understanding of accessibility standards such as WCAG and ARIA and be able to implement inclusive design practices to ensure mobile applications are usable by people of all abilities.
• Experience in implementing and managing Datadog dashboards, Google and Adobe analytics. monitors, and alerts for mobile applications.
• Experience with automated testing, unit testing, TDD, and CI/CD pipelines.
• Development Tools: Xcode, Android Studio, Github, Jira, Confluence, Figma.
• Familiarity with mobile analytics, crash reporting, and user behavior tracking.
• Ability to work in a fast-paced, agile environment with AI-enhanced workflows.
• Strong Project Organization Skill with budgeting, scope
• Strong Communication Skill

iOS Niche

8342 - iOS Niche


**Title**: Software QA Engineer

**Supervisor**: Director, Software QA

**Summary of Position:**
Software QA Engineer is responsible for designing, reviewing, and executing both manual and automation test cases. This role participates in all scrum meetings, aligns with QA managers on testing needs, strategies, and next steps, and works closely with cross-functional teams to understand and deliver quality tests. Both front end and backend application testing.

**Duties & Responsibilities:**
- Test Planning and Design
- Review requirements specs and design test cases
- Contribute to test planning and efforts estimation
- Uncover test scenarios, coverage, and create negative tests
- Create automation scripts and contribute to the maintenance of test automation
- Work closely with team members to execute test cases and understand business logic
- Functional, performance, automation, and manual test cases creation and execution
- Defect tracking and linkage to user stories
- Strong grasp of testing principles, scripting, and programming languages to participate in and help create automation
- Able to work in an agile environment, attends all scrum calls, and collaborates frequently with team
- Voices testing concerns, asks questions, and advocates for quality


**Technical Skills**
- Java, selenium, C#, .Net
- Manual test case creation and automation scripting
- Performance testing preferred not required
- API testing preferred
- ISTQB preferred, not required
- Postman for api testing
- Familiar with git/gitlab
- Azure Pipelines or Jenkins knowledge
- Testng, junit, jmeter, preferred
- UI and backend testing


**Minimum Qualifications**
- Bachelors in Software Engineering, Computer Science and experience
- 1-3 years of experience as a software test engineer
- Excellent communication skills

8341 - QA

SR ./ Lead NET Developer
**++Summary++**Our growing team is looking for experienced backend software engineer to help us build and maintain software systems in support of our business and partners.  If you are an experienced software engineer with a passion for good design and architecture, with great interpersonal skills we want you! The Senior Software Engineer will be responsible for providing support for contributing to new software development efforts on the most current .NET technology stack and Azure **++Responsibilities++**
- Create systems that are durable and flexible by developing for change – favor configurability over customization
- Create enterprise grade framework for engineers to leverage, with security, scalability
- Refactor and extend the existing codebase to fix defects and add features/functionality
- Architect and develop applications, workflows, and prototypes to meet the business’ needs
- Refine functional requirements and develop technical specifications
- Generate technical documentation to communicate architectural and design decisions
- Develop complete test plans, tests, and strong code coverage
- Resolve defects during QA testing, pre-production, production, and post-release cycles
- Communicate & collaborate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts

**++Education and Experience++**
- Bachelor’s degree in Computer Science or related field, Master’s degree a plus
- 5+ years of software development experience including
- Strong portfolio of work showing experience developing secure and standards-compliant code across multiple platforms. (Java, Microsoft stack as well as Open Source technology)
- Solid conceptual knowledge of design patterns and language agnostic design experience
- Test driven development mindset and strong discipline of writing extensive tests for every production code ship
- Experience with Cassandra or Cosmos DB or other NO SQL databases
- ​Experience with multi-tenant architectures in the SaaS space
- Fluent in several of the following languages/platforms/libraries: Java and .NET
- Strong understanding of API’s and web service concepts such as REST, SOAP, and XML/JSON business object representations
- Experience developing API's utilizing REST architecture
- Ability to handle a fast-paced environment for iterative project turnarounds on mission & revenue critical, customer-facing applications
- Experience with Agile development methodologies such as Scrum and Extreme Programming
- Git, Jira, Confluence experience
- Experience is queue based systems like RabbitMQ, MSMQ, Kafka, Event Hub is preferred.
- Knowledge of Relation databases like Oracle/SQL server.
- Experience in .Net Core, Azure is preferred

8339 - C# C#

**Job Description**

**Job Summary:**
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.
You will also help us build and scale our GenAI application platform. This platform will be the hub within our company where GenAI application developers can share their data and code. As custodians of this platform, we intend to use the best practices in the field along with existing repositories to expedite the path from prototype for GenAI applications and unlock economies of scale. You will be highly influential in advancing our GenAI applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization.
**Job-Specific Responsibilities:**
    - Minimum of seven years’ post-secondary education or relevant work experience
    - Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
    - Minimum of five years Dev Ops experience with at least a year of ML Ops and Software Engineering Development background
    - **Cloud Platforms:** Proficiency in cloud services - [Amazon Web Services (AWS);](https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Faws.amazon.com%2F&data=05%7C02%7C%7Cd4c9c3f5d95f4a5b482508de5876b326%7Ceedd1340df1a4db28a03b4cfb1fa3e9d%7C0%7C0%7C639045464020104854%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=K8LulUZd0m5A%2FPy0xgI7HEZfY0EU5zOZVkXdoPtQYBU%3D&reserved=0) Nice to have - Google Cloud Platform (GCP), or Microsoft Azure.
    - **Containerization & Orchestration:** Expertise with Docker and Kubernetes for managing application environments.
    - **Infrastructure as Code (IaC):** Experience with tools like Terraform or Ansible for automating infrastructure provisioning.
    - **Programming:** Strong scripting skills, typically in Python or Go, for automation and building operational tools.
    - **MLOps Tools:** Familiarity with MLOps platforms and tools (e.g., MLflow, Kubeflow, Data Version Control (DVC)) is often a plus.
    - **SRE Mindset:** A focus on site reliability engineering principles to ensure robust production systems.
    - **Tech Skills:** Terraform, GitHub actions, Quadrant, Vector Database, CI/CD, Python, Shell Scripting.
    - Strong Communication Skills, Good Team Player, ability to wear multiple hats, fast learner, problem solving and go getter attitude.

DevOps Cloud, Infrastructure and ITOps

8334 - DevOps Cloud, Infrastructure and ITOps

### Role Summary
The Senior Data Platform Engineer is responsible for designing, configuring, operating, and optimizing the core analytics and data platform, with Databricks as a central component. This role focuses on platform reliability, scalability, performance, security, and cost efficiency, while enabling data engineers and analytics teams to build high quality data products on top of a well governed and well operated platform.
The engineer will own the technical foundation of the data platform, including Databricks workspace setup, cluster management, security and access controls, integration with BI and analytics tools such as Zoho and Qlik, and operational best practices. While the role includes some hands on data engineering work, the primary focus is platform engineering rather than pipeline delivery.
### Required Skills
**Data Platform Engineering**
- Deep hands on experience administering and operating Databricks environments, including workspace configuration, cluster policies, job configuration, and environment management
- Strong expertise in Databricks performance tuning, reliability, and cost optimization, including cluster sizing, autoscaling strategies, and workload isolation
- Experience implementing Databricks security and governance capabilities such as identity and access management, data access controls, and environment separation
- Ability to establish and enforce platform standards and best practices for Databricks usage, development workflows, and operational hygiene
- Experience integrating Databricks with downstream analytics and BI tools such as Zoho, Qlik, or similar platforms
- Strong understanding of cloud based data platform infrastructure concepts including storage layers, networking, and security controls

**Supporting Data Engineering Skills**
- Solid hands on experience with data ingestion, ETL or ELT pipelines, and orchestration frameworks running on Databricks
- Practical experience building and supporting scalable data transformation and modeling workloads using Spark based technologies
- Understanding of data quality, reliability, and operational monitoring as it relates to platform workloads

### Preferred Skills
- Experience implementing CI/CD patterns for Databricks notebooks, jobs, and configurations
- Familiarity with modern data platform observability, logging, and monitoring tools
- Experience supporting lakehouse architectures and open table formats
- Exposure to governance and metadata management capabilities within Databricks
- Experience working in greenfield or evolving analytics platform environments

### Education and Experience Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- Typically 5 to 8 years of experience in data platform engineering, data engineering, or analytics infrastructure roles
- Demonstrated experience operating production Databricks platforms that support multiple teams and workloads

Data Engineer Data

8330 - Data Engineer Data

Position Overview:
We’re looking for an Associate Program Manager who is energized by big challenges and passionate about making learning accessible and effective for everyone. As a member of our Product organization, you’ll be part of a technical Program team dedicated to creating digital learning solutions that revolutionize classrooms and empower students to reach their full potential. The ideal candidate will have strong organizational and communication skills, an interest in working in an Agile software development environment, high aptitude for learning technical processes and a deep passion for program or project management excellence. This is an entry-level position that will work under the direct guidance of a Program Manager and support all aspects of planning, roadmap development, delivery, collaboration and team engagement for a technical program. This is an exciting opportunity for someone interested in starting their program management career in the tech industry.


Key Responsibilities:
• Program Management: You’ll support the delivery of cross-functional initiatives by assisting with the planning, tracking, and reporting of key workstreams. This includes helping to monitor timelines, flag emerging risks, and escalate blockers to keep projects on schedule. You’ll work closely with program managers and team leads to uphold efficiency and transparency across efforts, ensuring alignment with strategic product and business priorities while gaining exposure to the end-to-end delivery process.
• Team Development and Well-being: You’ll help foster a supportive Agile team culture by supporting onboarding, sharing learning resources and coordinating team rituals as needed (e.g. standups, sprint planning, retrospectives). You’ll also escalate team concerns to leadership, helping maintain engagement, trust, and energy across the Programs.
• Cross-Functional Collaboration: You’ll support collaboration among technical, product, UX, content, data science, and vendor teams, helping maintain program roadmaps, tracking dependencies, and sharing timely updates. You’ll flag and escalate misalignments or coordination gaps, ensuring smooth visibility across initiatives and supporting healthy collaboration between partners.
• Operational Planning & Execution: You’ll support program planning by coordinating with internal teams and external partners to clarify program objectives and milestones. You’ll assist with tracking roadmaps, gathering progress data, and helping define success metrics.
• Program Success Metrics and Reflection: You’ll support the definition and tracking of meaningful metrics that illuminate team progress and impact. You’ll help collect and organize data, contribute to regular reflection sessions, and surface insights on what’s working or needs adjustment.
• Resource Management: You’ll assist in maintaining our team members’ capacity tracking and resource planning processes, supporting timely updates to resource allocations, ensuring metrics reflect current staffing and capacity, as well as maintain exception reporting.
• Communication and Engagement: You’ll support communication cadences across development teams, cross-functional stakeholders, and leadership. You’ll help clarify progress, challenges, and next steps in ways that make complex information understandable by maintaining transparency and ensuring that both the “what” and the “why” are clear.
• Process Creation and Optimization: You'll support the Program Management Community of Practice by helping to maintain and refine program-related processes. You’ll assist with identifying inefficiencies, gathering input from stakeholders, and supporting documentation of workflows and templates. You’ll also help monitor adoption and basic process metrics, contributing insights for improvement.


What can you bring to the role?
• Passion for Program or Project Management: You’re keenly interested in supporting project or program execution from start to finish. While the Program Manager owns the overall strategy, you'll support tracking key steps, ensuring follow‑through on tasks, and helping drive initiative momentum.
• Strong Communication and Collaboration Skills: You work well with others and are starting to build confidence in clear, effective communication with the goal of building strong interpersonal and collaboration skills. You'll assist in preparing updates, facilitating meetings, and working with cross‑functional peers, receiving guidance and feedback along the way.
• Outstanding Organizational Skills: You’re comfortable handling multiple tasks, keeping tracking sheets and dashboards updated, reminding stakeholders of deadlines, and helping to keep workstreams on course. You thrive on keeping things organized. 
• High Reliability and Accountability: You take your responsibilities seriously. Assigned deliverables are completed on time, items you’re tracking move forward without reminders, and you show consistent follow‑through in your commitments.
• Relationship Building: You work cooperatively with teams like engineering, product, UX, content, or operations. Though the overall Program leadership manages alignment and consensus, you help foster cooperation, respond to requests, and escalate important feedback appropriately. 
• Creative Problem-Solving and Innovation: You help surface issues early, suggest ways to resolve logistical or administrative challenges, and look for small improvements. You’ll sharpen your ability to break down complex tasks into clear next steps and proactively flag challenges so the Program Manager can guide you.
• Aptitude for Technology and Agile Tools: You’re enthusiastic and quick to learn key Agile tools and frameworks. With support, you'll begin learning how to use Jira and other tracking software. You’ll also become familiar with Scrum ceremonies (e.g. sprint planning, stand-ups, reviews, retrospectives) and understand how these practices integrate with digital tools. You’re eager to grow your confidence through guided use, training sessions, or mentorship, helping Agile teams run smoothly and transparently.


Qualifications:
• 0-2 years’ experience in program or project management (“0” means you’re highly interested, but haven’t done it yet)
• Strong communication skills
• Strong organizational skills
• Evidence of technical aptitude – e.g., ability to learn and understand technical processes
• Interest in learning Agile methodologies and scrum master functions
• Bachelor’s degree in Education, Business, Communication, or equivalent experience preferred; recent college grads will also be considered

Additional consideration given to candidates with any of the following:
• Experience with tools such as Jira, Confluence and/or Smartsheet
• Experience performing a scrum master function
• Understanding of Agile methodologies
• Experience in EdTech industry
• Experience working in large, highly-matrixed companies
• Experience working with software developers
• Proven track record of successfully managing complex, cross-functional projects

Project Manager Product Administration

8325 - Project Manager Product Administration

JR3984

**About This Job**
Tests software products to ensure quality, identifies defects, and documents test results. Learns to develop and execute automated test scripts, analyze test results, and report issues. Collaborates with cross-functional teams to ensure product quality.
- Verifies that product documentation is in sync with product functionality.
- Monitors and verifies that quality activities are in line with control procedures.
- Compiles, analyzes, and distributes performance reports and process control statistics.
- Maintains and disseminates defect documentation and logs.
- Executes test cases as per the test plan.
- Reports defects in the defect tracking tool.
- Participates in test case reviews.
- Assists in test data preparation.

SDET QA Automation

8311 - SDET QA Automation

JR 4016

**About This Job**

Translate business requirements into viable and scalable applications.
Develop and test outsystems applications using best practices and established coding standards
Conduct root cause analysis using knowledge of applications, interfaces, and technology for defect resolution.
Maintain a professional demeanor at all times and consistently interact professionally and productively with other team members.
- At least 2 years of experience developing web and mobile applications using outsystems.
- Proficiency in the outsystems platform, including the use of Service Studio, Integration Studio.
- Experience in architecture patterns, solution design and high performing application development.
- Experience in designing and developing scalable, secure and high-performance Outsystems applications.
- Extensive experience in developing screens, web blocks, timers, server/service actions, client actions, data actions etc. in outsystems
- Experience in customizing the UI of the screens based on the figma designs provided.
- At least 1 years experience working with web technologies like ASP .NET, C#, or Java, HTML, CSS, JavaScript and RESTful APIs.
- At least 1 years experience working on relational database language like SQL/Oracle and writing T-SQL queries.
- Experience in using Outsystems architecture dashboard, discovery tool to validate application design and technical debt.
- Knowledge of relational data modelling principles and experience building database objects using E-R modelling tools.
- Experience in building apps with responsive web design compatible with various devices, exposing and consuming SOAP and RESTful APIs.
- Experience working in agile/scrum methodology of project delivery.
- Experience using tools like Azure Boards, Jira, confluence.

Outsystems Niche

8310 - Outsystems Niche

## **Technical Expectations**
**SDET minimum expectations plus the following:**
- Experience using at least one programming language.
- Experience performing maintenance for existing automation frameworks; regression, integration and/or performance suites.
- Hands on experience using object-oriented concepts - Has exposure to SOLID principles.
- Hands on experience using Automation Execution frameworks (e.g. MsTest, TestNG).
- Hands on experience using Automation framework design patterns like POM.
- Awareness of mobile automation testing.
- Experience using code source control tools like Git - experience with more complex branching strategies and resolving merge conflicts.
- Proficient with package/dependency managers.
- Familiarity with containerization technologies (e.g. VMWare, Docker, Vagrant).
- Solid understanding about DOM objects and different identification techniques.
- Solid understanding about DB Management tools and SQL concepts.
- Experience performing API Testing and knowledge of any API Automation tools.
- Hands on experience using any Performance Test Tool (e.g. SoapUI, LoadRunner, VS Studio Performance module).
- Experience in reporting and participating in bug triages.
- Familiar with the practice of and participates in code reviews.

8305 - SDET QA Automation

ADS, a company currently navigating a highly contentious phase, has recently been acquired by Cardinal Health and is also undergoing a transition from outdated technologies to newer ones. We are seeking a highly experienced Product Manager and Business Analyst who possesses the ability to effectively manage conflicts and negotiate effectively.

Business Analyst Product Administration

8304 - Business Analyst Product Administration

Responsibilities:
- Project Management 
- Technical delivery management experience
- Working with product managers early in the delivery cycle to plan and work cross-functionally
- Running scrum ceremonies, someone who can guide the teams in the best agile practices
- Handling team sizes of 10+ people
- Coaching the PO’s in backlog health
- Able to coach in user story writing
- Strong Agile understanding

8299 - Project Manager Product Administration

JR3845

_What We Need:_
- Solid .NET experience with fullstack web development
- Experience with JavaScript frameworks (we use Angular; knowledge of React, Vue, or similar is acceptable)
- Comfortable with basic front-end development tasks
- Can independently own features from design through deployment
- Strong understanding of design patterns and code maintainability
- Focus on API performance and writing scalable code
- Able to mentor intermediate/junior developers

_Projects:_
- **Crypto Product**: Implementing features for new external integrations and product functionality
- **Self-Directed Trading**: Enhancing existing features while maintaining code quality and performance

_Must Have:_
- Writes clean, readable code with minimal guidance
- Understands scalability patterns and when to apply them
- Performance-conscious development practices
- Can navigate and improve existing codebases
- Participates actively in code reviews and technical discussions

8295 - C# C#

###### 
###### Job Description
Client is revolutionizing the world of data management and analytics with our innovative cloud data platform, purpose-built for petabyte-scale datasets. Our mission is to help organizations drastically reduce data costs while increasing their data retention.
We are looking for a  **Site Reliability Engineer (SRE)** to join our dynamic Services team. In this role, you will contribute to the reliability and scalability of our cutting-edge platform, ensuring exceptional solutions tailored to our customers’ unique needs. This is a highly technical, hands-on role that requires deep expertise in system reliability and automation.
###### Key Responsibilities
- **Infrastructure Reliability**: Deploy, maintain, and ensure a highly reliable fleet of Kubernetes clusters and deployments across multiple cloud platforms.
- **Service Optimization**: Design, implement, and maintain systems and processes to enhance the reliability, availability, and performance of our services.
- **CI/CD Management**: Build and optimize CI/CD tools and processes to ensure efficient and reliable deployments.
- **Monitoring and Incident Response**: Develop and manage monitoring, alerting, and incident response strategies to minimize downtime and enable rapid recovery.
- **Root Cause Analysis**: Conduct comprehensive root cause analyses for system failures, implementing long-term preventive measures.
- **Automation and Efficiency**: Automate repetitive tasks and optimize system performance to improve operational efficiency.
- **On-Call Support**: Participate in covering weekday business hours and once-monthly weekend shifts.

**Collaboration and Customer Engagement**
- **Cross-Functional Teamwork**: Work closely with software engineering, infrastructure, and product teams to integrate reliability practices into every stage of the development lifecycle.
- **Reliability Advocacy**: Champion SRE best practices and foster a culture of operational excellence across the organization.
- **Global Team Collaboration**: Collaborate with a distributed team of engineers worldwide to provide round-the-clock support.
- **Customer Support**: Interface with customers to address and resolve reported incidents, ensuring a seamless user experience.

###### Qualifications and Skills
- **SRE Expertise**: Proven experience as a Site Reliability Engineer or similar role, with a history of supporting complex distributed systems (minimum five years supporting complex distributed systems).
- **Observability Tools**: Experience with monitoring and debugging tools like Prometheus, Vector, Grafana, Superset, or Kibana.
- **Cloud Platforms**: Proficiency in at least one major cloud platform (AWS, GCP, Azure, or Linode).
- **Database Knowledge**: Experience with SQL databases; familiarity with PostgreSQL is a plus but not required.
- **Programming Skills**: Proficiency in programming languages such as Python, Go, or Rust.
- **Linux Expertise**: Strong experience with Linux systems, including performance tuning and system-level troubleshooting.
- **Communication Skills**: Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to diverse audiences, including customers and cross-functional teams.

Site Reliability Engineer Cloud, Infrastructure and ITOps

8293 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8291 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8284 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8283 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8282 - Site Reliability Engineer Cloud, Infrastructure and ITOps

**Requirements:**
- **Advanced SQL** skills, including complex queries, performance tuning, and data transformations
- Experience investigating complex data sets to identify logical flaws, inconsistencies, or unexpected patterns in the absence of a known ground truth.
- Experience with **data modeling**, especially dimensional modeling and star schemas
- Solid experience with **Snowflake and cloud‑based data warehousing** concepts
- Strong background in data engineering, particularly **ETL/ELT** development
- Proficiency in **Python** for data processing and automation
- Ability to operate effectively in ambiguous environments and help create clarity where needed
- A proactive mindset - you naturally look for issues before they escalate and push through hurdles with persistence
- **Strong communication skills** and willingness to engage, contribute ideas, and collaborate with the team
- Curiosity and a desire to understand the business context behind the data, even if it’s not your strongest area yet- **Problem-Solving**
- **Very proactive**
- **Strong communication (Over-communication)**

**Nice to Have:**
- Experience working in **hybrid analytics/reporting tools** roles / Exposure to **BI tools or analytics workflows**
- **Apache airflow** knowledge
- Familiarity with internal data governance frameworks or enterprise data management processes

8277 - Data Engineer Data

8276 - Data Engineer Data

### **Position Summary**
The client is seeking an experienced **L3 / Senior IT Operations professional** to join their Enterprise Service Desk team. This role serves as the first and second line of support for IT-related issues, ensuring smooth operations across the organization. The ideal candidate will have strong technical troubleshooting skills, excellent time management, and a customer-first mindset.
### **Key Responsibilities**
- Serve as the initial and secondary point of contact for IT incidents and service requests via phone, email, or ticketing system.
- Manage and prioritize tickets in the queue, ensuring compliance with SLAs and timely resolution.
- Provide first- and second-level troubleshooting for:**Windows Operating Systems General networking issues OS and printer troubleshooting**
- Assist with password resets, account unlocks, and basic access management tasks.
- Escalate complex issues to higher-level support teams when necessary.
- Document all interactions, resolutions, and updates accurately in the ITSM tool.
- Contribute to knowledge base articles and process improvement initiatives.
- Maintain strict adherence to security and compliance protocols, especially in a financial environment.

### **Required Qualifications**
- **Education:** Associate degree in IT, Computer Science, or equivalent experience.
- **Experience:**3-5 years in IT support or operations, preferably in financial services. Hands-on experience with Windows OS, networking fundamentals, and printer troubleshooting.
- **Technical Skills:**Familiarity with Active Directory, remote desktop tools, and ticketing systems (e.g., ServiceNow).
- **Soft Skills:**Strong time management and ability to handle multiple priorities. Excellent communication and interpersonal skills. **Critical thinking, common sense, and kindness** as core attributes for success.

### **Preferred Qualifications**
- ITIL Foundation certification.
- Experience in enterprise-level IT environments.
- Knowledge of cybersecurity best practices.

IT Engineer Cloud, Infrastructure and ITOps

8272 - IT Engineer Cloud, Infrastructure and ITOps

8271 - IT Engineer Cloud, Infrastructure and ITOps

### **Position Summary**
The client is seeking an experienced **L2 IT Operations professional** to join their Enterprise Service Desk team. This role serves as the first and second line of support for IT-related issues, ensuring smooth operations across the organization. The ideal candidate will have strong technical troubleshooting skills, excellent time management, and a customer-first mindset.
### **Key Responsibilities**
- Serve as the initial and secondary point of contact for IT incidents and service requests via phone, email, or ticketing system.
- Manage and prioritize tickets in the queue, ensuring compliance with SLAs and timely resolution.
- Provide first- and second-level troubleshooting for:**Windows Operating Systems General networking issues OS and printer troubleshooting**
- Assist with password resets, account unlocks, and basic access management tasks.
- Escalate complex issues to higher-level support teams when necessary.
- Document all interactions, resolutions, and updates accurately in the ITSM tool.
- Contribute to knowledge base articles and process improvement initiatives.
- Maintain strict adherence to security and compliance protocols, especially in a financial environment.

### **Required Qualifications**
- **Education:** Associate degree in IT, Computer Science, or equivalent experience.
- **Experience:**1–3 years in IT support or operations, preferably in financial services. Hands-on experience with Windows OS, networking fundamentals, and printer troubleshooting.
- **Technical Skills:**Familiarity with Active Directory, remote desktop tools, and ticketing systems (e.g., ServiceNow).
- **Soft Skills:**Strong time management and ability to handle multiple priorities. Excellent communication and interpersonal skills. **Critical thinking, common sense, and kindness** as core attributes for success.

### **Preferred Qualifications**
- ITIL Foundation certification.
- Experience in enterprise-level IT environments.
- Knowledge of cybersecurity best practices.

8268 - IT Engineer Cloud, Infrastructure and ITOps

8267 - IT Engineer Cloud, Infrastructure and ITOps

JR 3985


**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.

8265 - C# C#

## **Senior Frontend Engineer (Next.js / Nest.js)**
We are looking for a **Senior Frontend-oriented Engineer** with strong experience in **Next.js** and Node.js/**Nest.js** to support a high-impact project focused on **AI-powered product innovation**.
### **Project Overview**
You’ll work on a new **AI-centric product vertical** focused on **person verification and safety**—helping determine whether a user is a real person, reducing scammers, and improving trust in dating platforms. This role goes beyond prompt engineering and focuses on **building real AI-powered features around concrete use cases**.
### **Responsibilities**
- Build and evolve frontend features using **Next.js**, with a strong product and UX mindset.
- Implement and maintain backend APIs using Node.js/**Nest.js** to support AI-driven workflows.
- Design and integrate **AI-powered features** (search, enrichment, verification, safety signals).
- Work with **AI agents and modern AI workflows**, including guardrails and safety considerations.
- Collaborate on defining new product capabilities powered by AI (not just prompts).
- Research, explore, and prototype AI solutions independently and proactively.
- Contribute to a fast-moving, goal-oriented team building new products from the ground up.

### **Required Skills & Experience**
- Strong experience with **Next.js.**
- Working experience with **Nest.js** and API design.
- Proven experience **building software products using AI**, not just experimenting with prompts.
- Hands-on experience with AI-assisted development tools such as **Cursor, Claude Code, Codex, or Gemini Pro**.
- Experience integrating AI into real-world use cases (e.g., search, enrichment, verification).
- Familiarity with **AI safety, guardrails, and responsible AI usage**.
- Self-driven, goal-oriented, and comfortable with ambiguity.
- Senior-level experience preferred.

### **Nice to Have**
- Experience building **agentic workflows** or AI-assisted systems.
- Background in data enrichment, identity verification, or trust & safety products.

Next.js JavaScript

8264 - Next.js JavaScript

Job Description: CI/CD Pipeline Implementation Engineer
Temporary Contract (3-6 months estimated)
# Overview
We are seeking an experienced DevOps/Platform Engineering contractor to participate in the design, implement, and document a comprehensive CI/CD pipeline for our application environments. This role involves building upon our ArgoCD and GitHub infrastructure to realize an integrated CI/CD pipeline.
## Project Objectives
Build a fully orchestrated and extendable CI/CD pipeline that connects existing components and future components into an automated, reliable deployment workflow with integrated testing capabilities using Argo Workflows.
## Current State
● Existing GitHub Actions configured for single environment deployment
● Largely manual trigger-based deployment workflow
● Kubernetes infrastructure in place
● ArgoCD installed and ready for integration
● Azure SQL Managed Instance for database layer
● Defined model for target environment structure
● Testing frameworks in use: Playwright (E2E/Integration), Pact (API contract testing), GitHub Dependabot, XUnit, and ViTest
● Terraform infrastructure deployments for cloud based services
# Key Responsibilities
## Pipeline Development
● Participate in the design and then implement automated CI/CD workflow using Argo Workflows, Events, Rollouts
● Orchestrate the complete deployment flow from code commit through production
● Integrate database schema migrations and validation against Azure SQL Managed Instance
● Implement feature flag management system integrated with release pipeline integrated with PostHog
● Design processes for feature flag creation, configuration, and lifecycle management with PostHog
● Create automated promotion workflows between environments with feature flag coordination
● Integrate Playwright-based E2E and integration tests into pipeline stages
● Incorporate Pact contract testing for API validation
● Design extensible testing framework with clear entry points for additional test types
● Establish rollback and recovery procedures including database and feature flag considerations
## Collaboration & Requirements Gathering
● Partner with QA and Engineering teams to integrate Playwright and Pact testing into pipeline workflows, along with Unit Testing frameworks
● Define optimal testing stages and environment requirements for each test type
● Design modular testing framework allowing easy addition of future test types
● Translate testing requirements into automated pipeline stages
● Work with internal team to ensure knowledge transfer throughout implementation
● Coordinate database deployment strategies with infrastructure team
● Adapt pipeline design based on team feedback and operational constraints
## Documentation & Process Design
● Create comprehensive documentation for the CI/CD pipeline architecture
● Document feature flag management workflow and best practices
● Document troubleshooting guides and common scenarios
● Write process guidelines for developers using the pipeline
● Create training materials for internal team handoff
## Quality & Best Practices
● Implement security scanning and compliance checks in pipeline leveraging GitHub products
● Recommend additional products to realize CI/CD goals as applicable
● Establish monitoring and alerting for pipeline health
● Apply industry best practices for GitOps workflows
● Ensure pipeline reliability, observability, and maintainability
# Required Qualifications
## Technical Skills
● Strong hands-on experience with Argo Suite
● Proven expertise with GitOps deployment patterns
● Deep knowledge of Kubernetes (deployments utilizing Helm charts, Docker images, Kustomize, services, ingress, configuration management, Terraform)
● Experience with Azure services, particularly Azure SQL Managed Instance integration
● Understanding of database migration strategies and deployment automation
● Experience implementing feature flag systems and progressive delivery patterns
● Knowledge of feature flag tools and frameworks
● Experience orchestrating complex CI/CD workflows across multiple tools
● Proficiency integrating Playwright for E2E and integration testing
● Knowledge of Pact contract testing implementation and workflows
● Ability to design extensible, modular testing frameworks and entrypoints
## Professional Skills
● Excellent documentation and technical writing abilities
● Strong collaboration and communication skills
● Experience working with QA teams on test automation integration
● Ability to mentor and knowledge-transfer to internal teams
● Self-directed with ability to manage ambiguity and collaborate on making architectural decisions and clearly communicate and document those decisions
# Preferred Qualifications
● Experience with database CI/CD patterns and migration tools (Flyway, Liquibase, etc.)
● Experience with progressive delivery strategies (canary releases, blue-green deployments)
● Understanding of feature flag governance and technical debt management
● Experience with containerized application deployments
● Knowledge of Helm charts and Kustomize
● Familiarity with secrets management solutions (Azure Key Vault, Vault, Sealed Secrets, etc.)
● Background in platform engineering or SRE practices
● Experience with test parallelization and optimization strategies
● Previous experience building CI/CD pipelines
# Deliverables
● Fully functional, automated CI/CD pipeline connecting all environments
● Feature flag management system integrated with deployment workflow as it relates to agreed upon deployment strategy (Canary, Blue-Green, etc.)
● Documented processes for feature flag lifecycle (creation, deployment, removal)
● Integration of Playwright E2E/integration tests and Pact contract tests at appropriate pipeline stages
● Integration of various unit testing frameworks and test runs at appropriate pipeline stages
● Extensible testing framework with documented patterns for adding new test types
● Database deployment and migration automation integrated with application deployments
● Complete documentation package including architecture diagrams, runbooks, and process guides
● Knowledge transfer sessions with internal team
● Deployment workflow that can be maintained by internal team post-engagement
● Integrated automated rollback strategies and with documented procedures

8259 - DevOps Cloud, Infrastructure and ITOps


JR 3966

**About This Job**
Facilitates Agile ceremonies, coaches team on Agile principles, ensures team adheres to Scrum framework, removes impediments, tracks progress and metrics, communicates with stakeholders, manages project scope, budget, and timeline, and ensures timely delivery of high-quality products.
- Coaching the scrum team to apply appropriate processes to create successful products.
- Ensuring scrum principles and approaches are understood correctly by the development team and stakeholders; maximizing the performance of the team.
- Monitoring and improving the scrum process and project progress; helping solve impediments in the development process.
- Fostering self-organization and collaborative scrum team; sheltering the team from outside distractions to keep focus mainly on the agreed sprint goals.
- Facilitates daily stand-up meetings.
- Identifies and resolves project roadblocks.

Scrum Master Product Administration

8239 - Scrum Master Product Administration

JR 3965

**About This Job**
Facilitates agile/scrum ceremonies, supports product owner with backlog grooming, ensures team adheres to agile principles, identifies and removes impediments, tracks and communicates team progress, collaborates with stakeholders, and continuously improves team processes.
- Developing, testing, debugging software applications following technical specification.
- Analyzing and documenting clients' requirements, and translating into technical specification, such as product backlog, sprint backlog.
- Presenting application and software results to product owner and clients, and adjusting sprint objectives as needed.
- Collaborating with team members to facilitate the functionalities of applications aligning with requirements.
- Facilitates daily stand-up meetings.
- Assists in backlog management and prioritization.
- Helps to remove impediments and blockers for the team.
- Supports the Product Owner in managing stakeholder expectations.

8238 - Scrum Master Product Administration

JR 3871

**About This Job**
Designs, develops, and maintains software applications. Leads a team of developers, provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
Responsibilities:
- Designing, modifying, developing, writing and implementing software programming applications for the clearing platform.
- Writing source codes for new applications, and/or generating and enhancing code samples for existing applications.
- Utilizing automated testing tools to perform the testing and maintenance.
- Acquiring client requirements; resolving workflow problems through automation optimization.
- Partner with Product, Project, QA, DevOps, and Support teams to release high-quality software and ensure its reliable operation in production
- Maintaining Bank Security Standards and passing Audit requirements on Software
- Coach team members and help them in their work
- Able to lead when needed and support up
- Strong in designing reusable generic modules and components

Requirements:
- Bachelor’s degree in MIS, Computer Science or a related field OR equivalent training and experience
- 4+ years' experience building production applications
- Technology – GoLang, Java

Go JavaScript

8237 - Go JavaScript

**TOP REQUIREMENTS:**
- Kubernetes (EKS)
- Terraform
- Intermediate to Advanced AWS
- Github Actions
- NewRelic/Datadog
- Containers (docker)
- Ideally some form of developer background - with an eye for automating recurring tasks
- excellent communicator
- Above all else, someone who takes ownership, is a self-starter, and is someone that loves learning new skills and has a growth mindset.

**What can you expect from this position?**
- Participate in initiatives involving system design and provisioning, reliability, observability and monitoring, self-service tool development, cost optimization, incident response, chaos engineering and build and release
- Hands-on design, analysis, development and troubleshooting of large-scale distributed systems
- Build tools and automation to eliminate repetitive tasks, minimize downtime, achieve human free operations, and provide self-service solutions to product development teams
- Work to improve the observability and monitoring of our systems. Proactively monitor capacity, performance, and cost metrics to ensure quality and identify opportunities for improvement
- Share an on-call rotation with your team where you will respond to incidents, lead triage efforts, and conduct blameless postmortems
- Partner with engineering, security, and product teams to keep our services reliable, available, fast, and cost efficient
- Be a champion of the customer’s voice and ensure our solutions are built with customer empathy at the forefront
- Promote SRE best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your solutions
- Explore new technologies and solutions to push our capabilities forward

**What can you bring to the role?**
- 4+ years combined experience as a Software Engineer, Site Reliability Engineer or DevOps Engineer
- Proven technical abilities in the areas of reliability, monitoring, self-service tool development, incident response, and build and release
- Experience in one of these languages: Python, Go or Java. Prior software development experience preferred
- Strong experience with Linux environments
- Demonstrated expertise designing, building, and triaging highly scaled production infrastructure in AWS
- Experience with infrastructure automation technologies like Terraform
- Experience in container/container-fleet-orchestration technologies like AWS ECS or EKS
- Approach your job with an automation and software engineering mindset
- Passion for uptime, observability, and full stack monitoring
- Experience participating in a team’s 24x7 incident response efforts
- Experience building ci/cd pipelines that are fast, informative, drive quality and achieve zero downtime releases
- Ability to work across functional and domain boundaries to improve system reliability and deliver solutions on time and with quality

**++Common Technologies In Our Ecosystem Include++**
- Java, Go, Node, PHP
- DataBricks experience would be ideal
- Linux-based, some Windows
- Apache Web, Nginx, IIS, Apache Tomcat, Jetty
- Docker, AWS ECS, AWS EKS, and home-grown Kubernetes
- ELB, CloudFront, S3, EC2s, RDS, IAM, SQS, SES, SNS, Lambda, API Gateway, Kinesis, Lambda, ElasticCache, ElasticSearch, SSM, Control Tower, and much more
- MySQL, Oracle, PostgreSQL, SQL Server
- Artifactory, GitHub Enterprise, CircleCI, Jenkins, GitHub Actions, SonarQube, Jfrog X-Ray, Control Tower
- Terraform (preferred), CloudFormation
- Packer, Puppet, Ansible
- New Relic, CloudWatch, PagerDuty

As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you grow in a collaborative environment where everyone shares a passion for success.

8235 - Site Reliability Engineer Cloud, Infrastructure and ITOps

### **Position Title**: Sr. Backend Engineer (HIE)
### **Reports To**: Director of Software Engineering
### **The Position:**
### The Senior Data Engineer (HIE) is a technical lead for healthcare interoperability services. You will architect and deliver Python‑based REST APIs, FHIR and C‑CDA integrations, and compliant HTML→PDF pipelines, deploying horizontally scalable workloads on Azure Container Apps and Azure Function Apps. You’ll set standards, own complex cross‑system designs, and drive reliability, performance, and auditability in a HIPAA/HITRUST environment.
### **Duties & Responsibilities:**
**Interoperability & Standards**
· Implement FHIR integrations (e.g., Patient, DocumentReference, $match) with OAuth2/SMART on FHIR, robust error handling, and clear field mappings.
· Parse/transform C‑CDA documents into normalized data structures; validate content and provenance.
· Support HL7 v2/MDM/ADT flows where needed (message parsing, ack/error handling).

**API Engineering (Python)**
· Build internal/external REST APIs with FastAPI/Flask (authN/authZ, input validation, pagination, rate limiting).
· Define and maintain OpenAPI specs and versioning; write contract tests to prevent breaking changes.

**Document Generation & Templates (HTML → PDF)**
· Lead the templating framework (partials, localization, testing) and server-side rendering pipeline for HTML→PDF documents; ensure accessibility and compliance requirements.

**Data Modeling, Quality & Lineage**
· Define canonical data models for FHIR/C‑CDA ingestion; implement data quality checks, lineage metadata, and audit trails across Blob/Data Lake/SQL/Postgres SQL DB.
· Partner with Analytics/BI to expose well-formed datasets and semantics.

**Observability, SLOs & Reliability**
· Own instrumentation strategy: structured logs, metrics, and traces in Application Insights/Log Analytics.
· Set and track SLOs (p95 latency, error rates, throughput); engineer for graceful degradation and idempotency.

**Technical Collaboration**
· Perform design/code reviews; unblock delivery on complex integrations.
· Collaborate with Product, Interoperability, Security/Compliance, and Ops to align roadmaps and de-risk releases.
### Experience & Qualifications:
### **Required**
· 7+ years in data engineering, platform/API development, or similar roles.
· **Strong Python skills** (FastAPI/Flask), including packaging, virtual environments, and testing frameworks.
· Hands on building REST APIs and integrating external APIs; OpenAPI/Swagger proficiency.
· Practical experience with FHIR (resources, search parameters, auth) and C-CDA parsing/transformation.
· Knowledge of EPIC, Cerner, Athena, and other EMRs
· Proven deployment of horizontally scalable services on Azure (Container Apps or Function Apps), with observability and auto-scale.
· Solid understanding of cloud data stores (Azure SQL, Blob/Data Lake, Postgres SQL DB) and event systems (Service Bus/Event Grid).
· Git based workflows and CI/CD; security first mindset; excellent communication and collaboration.
. **Experience working in Healthcare**
**. Experience with - FHIR, Epic, Cerner, Athena, eClinicalWorks, or other EMRs.**
### **Preferred**
· Experience with HL7 v2 (MLLP/MDM/ADT) message handling.
· Familiarity with HTML→PDF engines and template systems.
· IaC (Bicep/Terraform/ARM), Azure API Management, and private networking patterns.
· Healthcare background and working knowledge of HIPAA/HITRUST controls.
### The Person:
The successful candidate will be a motivated data engineer who:
· Systems thinker: Balances elegant designs with practical delivery in regulated contexts.
· Technical mentor: Elevates team practice through reviews, pairing, and standards.
· Reliability-obsessed: Treats observability and SLOs as first-class product features.
· Compliance-aware innovator: Builds modern solutions without compromising privacy or auditability.
· Clear communicator: Turns complex integrations into understandable plans and artifacts.

Python Python

8230 - Python Python

### **Position Title**: Sr. Backend Engineer (HIE)
### **Reports To**: Director of Software Engineering
### **The Position:**
### The Senior Engineer (HIE) is a technical lead for healthcare interoperability services. You will architect and deliver Python‑based REST APIs, FHIR and C‑CDA integrations, and compliant HTML→PDF pipelines, deploying horizontally scalable workloads on Azure Container Apps and Azure Function Apps. You’ll set standards, own complex cross‑system designs, and drive reliability, performance, and auditability in a HIPAA/HITRUST environment.
### **Duties & Responsibilities:**
**Interoperability & Standards**
· Implement FHIR integrations (e.g., Patient, DocumentReference, $match) with OAuth2/SMART on FHIR, robust error handling, and clear field mappings.
· Parse/transform C‑CDA documents into normalized data structures; validate content and provenance.
· Support HL7 v2/MDM/ADT flows where needed (message parsing, ack/error handling).

**API Engineering (Python)**
· Build internal/external REST APIs with FastAPI/Flask (authN/authZ, input validation, pagination, rate limiting).
· Define and maintain OpenAPI specs and versioning; write contract tests to prevent breaking changes.

**Document Generation & Templates (HTML → PDF)**
· Lead the templating framework (partials, localization, testing) and server-side rendering pipeline for HTML→PDF documents; ensure accessibility and compliance requirements.

**Data Modeling, Quality & Lineage**
· Define canonical data models for FHIR/C‑CDA ingestion; implement data quality checks, lineage metadata, and audit trails across Blob/Data Lake/SQL/Postgres SQL DB.
· Partner with Analytics/BI to expose well-formed datasets and semantics.

**Observability, SLOs & Reliability**
· Own instrumentation strategy: structured logs, metrics, and traces in Application Insights/Log Analytics.
· Set and track SLOs (p95 latency, error rates, throughput); engineer for graceful degradation and idempotency.

**Technical Collaboration**
· Perform design/code reviews; unblock delivery on complex integrations.
· Collaborate with Product, Interoperability, Security/Compliance, and Ops to align roadmaps and de-risk releases.
### Experience & Qualifications:
### **Required**
· 7+ years in backend engineering, platform/API development, or similar roles.
· Strong Python skills (FastAPI/Flask), including packaging, virtual environments, and testing frameworks.
· Hands on building REST APIs and integrating external APIs; OpenAPI/Swagger proficiency.
· Practical experience with FHIR (resources, search parameters, auth) and C-CDA parsing/transformation.
· Knowledge of EPIC, Cerner, Athena, and other EMRs
· Proven deployment of horizontally scalable services on Azure (Container Apps or Function Apps), with observability and auto-scale.
· Solid understanding of cloud data stores (Azure SQL, Blob/Data Lake, Postgres SQL DB) and event systems (Service Bus/Event Grid).
· Git based workflows and CI/CD; security first mindset; excellent communication and collaboration.
. **Experience working in Healthcare**
**. Experience with - FHIR, Epic, Cerner, Athena, eClinicalWorks, or other EMRs.**
### **Preferred**
· Experience with HL7 v2 (MLLP/MDM/ADT) message handling.
· Familiarity with HTML→PDF engines and template systems.
· IaC (Bicep/Terraform/ARM), Azure API Management, and private networking patterns.
· Healthcare background and working knowledge of HIPAA/HITRUST controls.
### The Person:
The successful candidate will be a motivated engineer who:
· Systems thinker: Balances elegant designs with practical delivery in regulated contexts.
· Technical mentor: Elevates team practice through reviews, pairing, and standards.
· Reliability-obsessed: Treats observability and SLOs as first-class product features.
· Compliance-aware innovator: Builds modern solutions without compromising privacy or auditability.
· Clear communicator: Turns complex integrations into understandable plans and artifacts.

8229 - Python Python

### **Position Title**: Backend Engineer
### **Reports To**: Director of Software Engineering
### **The Position:**
We’re seeking a Backend Engineer to design and build interoperability‑first services in Azure that securely move, transform, and expose healthcare data. You will work primarily in Python to integrate external systems via REST APIs, implement standards like FHIR and C‑CDA, generate compliant HTML‑to‑PDF documents, and deploy horizontally scalable services on Azure Container Apps or Azure Function Apps. Success in this role leads directly to lower turnaround time, higher data quality, and audit‑ready outcomes in a HIPAA/HITRUST environment.
### **Duties & Responsibilities:**
**Interoperability & Standards**
· Build FHIR integrations (e.g., Patient, DocumentReference, $match) including authentication (OAuth2 / SMART on FHIR) and robust error handling.
· Parse and transform C‑CDA clinical documents; map sections/entries into normalized data structures for downstream use.
· Contribute to HL7 v2/MDM/ADT flows as needed (e.g., payload parsing, message validation, ack/error handling).

**API Engineering (Python)**
· Design and implement internal/external REST APIs using Python (FastAPI/Flask), with clear contracts, validation, and versioning.
· Define OpenAPI specs, request/response schemas, and secure endpoints (authZ/authN, scopes, roles, and least‑privilege).

**Document Generation (HTML → PDF)**
· Create accessible and compliant HTML templates for request/authorization letters and correspondence; convert to PDF via server‑side renderers.
· Implement a reusable templating pipeline (variables, partials, localization, testing) and ensure PDFs meet client and regulatory requirements.

**Cloud‑Native Delivery (Azure)**
· Deploy horizontally scalable services on Azure Container Apps (with autoscale) or Azure Function Apps (Elastic Premium), backed by Application Insights and Log Analytics for observability.
· Use Azure Service Bus/Event Grid for reliable, event‑driven processing; design idempotent workers with poison‑queue handling.
· Manage secrets/config via Key Vault/App Configuration; implement blue/green or slot‑based releases.

**Data Engineering**
· Build resilient ingestion/transformation pipelines for FHIR/C‑CDA and API data across Blob/Data Lake/SQL/Cosmos DB stores.
· Model data for reporting/analytics while maintaining lineage and auditability; enforce PII/PHI handling rules.

**Quality, Observability & Reliability**
· Instrument services with structured logs, metrics, and traces; maintain dashboards and SLOs (latency, error rate, throughput).
· Write integration tests, contract tests, and data validation checks; automate with CI/CD (Azure DevOps/GitHub Actions).

**Compliance & Documentation**
· Ensure HIPAA/HITRUST controls are met across code, infrastructure, and logging.
· Maintain developer‑ready docs: API specs, field mappings, runbooks, and architectural decision records (ADRs).
### Experience & Qualifications:
### **Required**
· 3+ years in data engineering, platform/API development, or similar roles.
· **Strong Python skill**s (FastAPI/Flask), including packaging, virtual environments, and testing frameworks.
· Hands on building REST APIs and integrating external APIs; OpenAPI/Swagger proficiency.
· Practical experience with FHIR (resources, search parameters, auth) and C-CDA parsing/transformation.
· Knowledge of EPIC, Cerner, Athena, and other EMRs
· Proven deployment of horizontally scalable services on Azure (Container Apps or Function Apps), with observability and auto-scale.
· Solid understanding of cloud data stores (Azure SQL, Blob/Data Lake, Postgres SQL DB) and event systems (Service Bus/Event Grid).
· Git based workflows and CI/CD; security first mindset; excellent communication and collaboration.
. **Experience working in Healthcare**
**. Experience with - FHIR, Epic, Cerner, Athena, eClinicalWorks, or other EMRs.**
### **Preferred**
· Experience with HL7 v2 (MLLP/MDM/ADT) message handling.
· Familiarity with HTML→PDF engines and template systems.
· IaC (Bicep/Terraform/ARM), Azure API Management, and private networking patterns.
· Healthcare background and working knowledge of HIPAA/HITRUST controls.
### The Person:
The successful candidate will be a motivated data engineer who:
· Interoperability‑minded: Enjoys turning healthcare standards (FHIR/C‑CDA/HL7) into reliable, developer‑friendly services.
· Python craftsperson: Writes clean, testable code and well‑documented APIs.
· Cloud‑native pragmatist: Designs for horizontal scale, resiliency, and observability from day one.
· Compliance‑aware: Bakes auditability and privacy into every pipeline and endpoint.
· Collaborative: Works smoothly with product, ops, and security—translating requirements into running systems.

8228 - Python Python

JR3908

Designs, develops, and maintains software applications. Leads a team of developers, provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
- Design and develop distributed systems using microservices principles.
- Build and maintain RESTful and/or GraphQL APIs for internal and external integrations.
- Apply best-practice software design patterns to ensure maintainable and scalable code.
- Work closely with product owners, architects, and DevOps teams to deliver solutions.
- Ensure robust testing and CI/CD integration for all deliverables.
- Explore emerging technologies and contribute to architectural improvements.
- Collaborates with cross-functional teams to identify and resolve software issues.
- Advises developers on best methods of software development and code creation.
- Monitors and modifies development work to make sure resulting software meets established goals.
- Tests and debugs software to ensure high-quality and error-free products.

8224 - Java Java

**Job Title: Data Engineer**

**Job Overview:**
We are seeking a senior-level and highly motivated **Data Engineer.** This role will involve collaborating with cross-functional teams, designing and implementing modern data solutions, and supporting key business intelligence initiatives. The ideal candidate will have a strong background in data engineering, Power BI, and Snowflake as a data warehousing platform. This individual will play a key role in driving business intelligence strategies and enhancing reporting capabilities across the organization.

**Key Responsibilities:**

· **Requirement Gathering & Project Ownership:**
Work closely with Product and Technology stakeholders to gather requirements and help prioritize requests. Take ownership of projects, ensuring successful delivery and alignment with business needs.
· **Collaboration & Design:**
Partner with the Data Engineering team and data architects to expand and enhance a modern data warehouse platform that meets business and technical requirements.
· **EDW Data Modeling & Engineering:**
Develop and manage enterprise data warehouse (EDW) data models and perform data engineering tasks to ensure clean, reliable, and scalable data for business insights.
· **Data Pipeline Development:**
Design and develop data pipelines to support Snowflake EDW platform and Power BI models, leveraging tools such as dbt, SSIS, Snowpipes, Argo Workflows, Logic Apps, and Power Platform to automate and integrate business processes.
· **Snowflake Integration:**
Integrate new data sources into Snowflake, optimizing performance and ensuring seamless data flow across platforms.
· **Power BI Semantic Models Architecture & Design:**
Architect and design business-critical Power BI semantic models, providing a foundation for efficient reporting and analysis. Modify and upgrade existing Power BI semantic models based on user feedback, ensuring the models evolve with business needs.

**Skills & Qualifications:**

· Proven experience in Business Intelligence, Data Engineering, or related fields.
· Expert knowledge of OLAP data modeling and engineering within **Enterprise Data Warehouses (EDW)**
· Expertise with modern data platform architectures, including **Snowflake**and data lakes.
· Expert knowledge in designing and developing data pipelines, including tools such as **dbt, Snowpipes, BigQuery, GCP, Argo Workflows, SSIS, Logic Apps**and **Power Platform**.
· Expert knowledge of data integration and transformation processes.
· Strong problem-solving skills, with the ability to reverse engineer, troubleshoot, and optimize end-to-end BI solutions.
· Excellent collaboration and communication skills, with experience working in cross-functional teams.
· Knowledge of **cloud platforms** and **big data technologies**(e.g., Azure, AWS) is a plus.

**Desired Experience:**
· Experience in **Power BI**, including semantic model architecture, dashboard/report design, DAX, and security configuration.
· Power BI and/or Snowflake certifications or other relevant BI-related certifications preferred
· Deep knowledge of modern ETL/ELT tools and data orchestration platforms.
· Proven track-record in managing large-scale data projects and supporting high-performance data environments.
· Proven track-record in managing complex, large data sets and pipelines

8222 - Data Engineer Data

The Implementation Engineer is responsible for the hands-on technical deployment,
configuration, and validation of client's board within enterprise client environments.
Working closely with the Implementation Manager, project stakeholders, and customer
IT/security teams, this role ensures the successful integration of client's board with client
infrastructure, identity systems, and data sources.
This position requires strong technical troubleshooting skills, attention to detail, and an
understanding of enterprise security and identity governance ecosystems.
Key Responsibilities
1. Deployment & Configuration
• Install, configure, and validate client board components, including connectors,
agents, and data collectors.
• Integrate client board with Active Directory, Azure AD, Okta, LDAP, cloud
platforms, and data repositories.
• Execute technical implementation tasks according to project timelines and
requirements.
• Validate proper data ingestion, normalization, and visualization within
client board.
2. Technical Discovery & Requirements Gathering
• Collaborate with the client and internal teams to collect technical and security
requirements.
• Analyze existing infrastructure and identify integration points with client board.
• Document all environmental configurations and technical assumptions.
3. Troubleshooting & Issue Resolution
• Diagnose and resolve deployment issues related to network access,
authentication, data pipelines, and connector configurations.
• Work with Engineering and Product teams to escalate and resolve complex
technical problems.
• Implement solutions with a security-first mindset and in compliance with client
policies.
4. Documentation & Knowledge SharingConfidential
• Create and maintain technical documentation for each deployment, including
environment details, integration steps, and validation results.
• Contribute to internal knowledge bases, deployment guides, and reusable scripts.
• Provide feedback to Product and Engineering on platform usability and deployment
challenges.
5. Collaboration & Support
• Work under the direction of the Implementation Manager to execute scoped tasks
and report status.
• Participate in internal stand-ups, client check-ins, and retrospectives.
• Support training and knowledge transfer to customer administrators post-
deployment.
Success Metrics
• Deployment quality and accuracy (e.g., data integrity, connector success rate).
• Time-to-completion of assigned implementation phases.
• Client satisfaction with technical execution.
• Frequency and resolution time of escalated technical issues.
• Adherence to internal process, documentation, and quality standards.

Sysadmin Cloud, Infrastructure and ITOps

8220 - Sysadmin Cloud, Infrastructure and ITOps

We are looking for a **Senior Frontend Developer** to join Unosquare and work on high-impact, client-facing products for U.S.-based companies. In this role, you will build scalable, high-performance web applications using modern frontend technologies, with a strong emphasis on **React (Next.js), Vue.js or Angular 2+ and maintainable architectures**.

You will collaborate closely with designers, backend engineers, and product stakeholders, contributing not only through code but also through technical decisions, best practices, and mentorship.
### **Responsibilities**
- Design, build, and maintain modern web applications using **Angular 2+, Vue.js** or **React** (**Next.js) and TypeScript**
- Implement and optimize **SSR, SSG, and hybrid rendering strategies** for performance and SEO
- Contribute to or help define **microfrontend architectures**
- Write high-quality, maintainable, and well-tested code
- Collaborate with backend teams and contribute to **full-stack features** when needed
- Apply testing best practices (unit, integration, and component testing)
- Leverage **AI-assisted development tools** (e.g., GitHub Copilot, ChatGPT, Cursor, etc.) to improve productivity and code quality
- Participate in code reviews, architectural discussions, and technical planning
- Work closely with distributed teams in an agile environment

### **Required Qualifications**
- **5+ years of professional experience** as a Frontend or Software Engineer
- Strong expertise with React(**Next.js**) or Angular 2+, including **SSR and routing**
- Advanced knowledge of **TypeScript**
- Experience with **microfrontend patterns** (Module Federation or similar approaches)
- Solid understanding of **frontend testing** (unit and integration testing)
- Familiarity with **cloud-based environments**
- Experience working with **AI coding assistants** as part of daily development
- Some **full-stack experience**, including collaboration with APIs and backend services
- Strong communication skills and experience working with remote teams

### **Nice to Have**
- Hands-on experience with **AWS and/or Azure**
- Exposure to **microservices-based architectures**
- Experience with **end-to-end testing** (Playwright, Cypress, etc.)
- Experience acting as a **technical leader or mentor**
- Prior experience working directly with U.S. clients

### **What We Offer**
- 100% remote work with flexible schedules
- Long-term projects with top-tier U.S. companies
- Competitive compensation and benefits
- A strong engineering culture focused on quality, learning, and growth
- Opportunities to grow into **technical leadership roles** within Unosquare

8219 - React JavaScript

SR ./ Lead NET Developer 

**++Summary++**Our growing team is looking for experienced backend software engineer to help us build and maintain software systems in support of our business and partners.  If you are an experienced software engineer with a passion for good design and architecture, with great interpersonal skills we want you! The Senior Software Engineer will be responsible for providing support for contributing to new software development efforts on the most current .NET technology stack and Azure **++Responsibilities++**
- Create systems that are durable and flexible by developing for change – favor configurability over customization
- Create enterprise grade framework for engineers to leverage, with security, scalability
- Refactor and extend the existing codebase to fix defects and add features/functionality
- Architect and develop applications, workflows, and prototypes to meet the business’ needs
- Refine functional requirements and develop technical specifications
- Generate technical documentation to communicate architectural and design decisions
- Develop complete test plans, tests, and strong code coverage
- Resolve defects during QA testing, pre-production, production, and post-release cycles
- Communicate & collaborate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts

**++Education and Experience++**
- Bachelor’s degree in Computer Science or related field, Master’s degree a plus
- 5+ years of software development experience including
- Strong portfolio of work showing experience developing secure and standards-compliant code across multiple platforms. (Java, Microsoft stack as well as Open Source technology)
- Solid conceptual knowledge of design patterns and language agnostic design experience
- Test driven development mindset and strong discipline of writing extensive tests for every production code ship
- Experience with Cassandra or Cosmos DB or other NO SQL databases
- ​Experience with multi-tenant architectures in the SaaS space
- Fluent in several of the following languages/platforms/libraries: Java and .NET
- Strong understanding of API’s and web service concepts such as REST, SOAP, and XML/JSON business object representations
- Experience developing API's utilizing REST architecture
- Ability to handle a fast-paced environment for iterative project turnarounds on mission & revenue critical, customer-facing applications
- Experience with Agile development methodologies such as Scrum and Extreme Programming
- Git, Jira, Confluence experience
- Experience is queue based systems like RabbitMQ, MSMQ, Kafka, Event Hub is preferred.
- Knowledge of Relation databases like Oracle/SQL server.
- Experience in .Net Core, Azure is preferred

8216 - C# C#

**Overview**
The Security SPM (Security Project Manager) is a strategic and execution-oriented leader responsible for bridging the gap between security and engineering teams. This specialized position focuses on aligning security priorities with development workflows, driving visibility into security risks, and ensuring timely delivery of security-related initiatives. The Security SPM combines technical program management expertise with a strong understanding of security compliance concepts to fine-tune requirements, communicate risks effectively, and streamline collaboration across diverse teams. While sharing the same title and manager as other SPMs, the Security SPM role is tailored to address the unique challenges of security integration within cloud development environments.

**Key Responsibilities**
`•` Lead project planning, backlog refinement, sprint execution, and post-mortem ceremonies for security-related initiatives across development and security teams. 
`•` Coordinate cross-functional alignment with Dev, Security, SRE and Cloud Engineering partners for tasks such as vulnerability remediation, compliance audits, and secure infrastructure changes. 
`•` Proactively manage Jira hygiene and workflows—ensuring that security-related tickets are well-defined, estimated, assigned, and properly linked to Epics, Themes, and organizational priorities. 
`•` Track and report progress on security compliance, risk mitigation, and cost-focused initiatives using dashboards, Confluence documentation, and recurring status updates. 
`•` Facilitate regular team ceremonies and leadership reviews, keeping meetings focused, data-driven, and outcome-oriented. 
`•` Support compliance, access control, and decommissioning efforts across cloud and on-prem systems, with a focus on security best practices. 
`•` Identify patterns and areas of opportunity for automation, documentation, and tooling improvements to enhance security workflows. 
`•` Act as a steward of engineering time—minimizing context-switching, streamlining workflows, and closing the loop on stale or duplicative security- related work. 
`•` Contribute to shared documentation and knowledge management across security and development teams. Continuously improve team processes through retrospectives and experimentation.

**Qualifications**
`•` Available to work 9am-5pm, US Eastern Time . 
`•` 4+ years of experience in technical program management, project management, or product ownership roles in software engineering/development teams. 
`•` Strong understanding of Agile/Scrum principles and Jira/Confluence best practices (e.g., Dashboards, JQL, Macros). 
`•` Exposure to security compliance concepts (e.g., SOC 2, ISO 27001, NIST frameworks). 
`•` Experience with cloud-native technologies (e.g., AWS, Kubernetes, ECS, Terraform) and secure infrastructure practices. 
`•` Comfortable analyzing data to drive decisions and communicating findings clearly to both engineers and executives. 
`•` High attention to detail, follow-through, and accountability. 
`•` Empathy and communication skills to work with diverse, distributed engineering teams.

Preferred Qualities 
`•` Ability to manage ambiguity and bring structure to complex or undefined problem spaces. 
`•` Systems thinker who can connect day-to-day tasks to larger program and business objectives. 
`•` Collaborative mindset with a passion for empowering engineers and reducing toil. 
`•` Familiarity with cost optimization strategies in cloud infrastructure. 
`•` Previous exposure to infrastructure, SRE, DevOps, and security concepts.

8214 - Project Manager Product Administration

JR is pending to be created and published on Workday.
Replacement position for Alexis Velazquez

8200 - C# C#


It’s our mission to change the way people find clothes they love by combining technology with the personal touch of seasoned style experts.  ourexperience is not merely curated—it’s truly personalized to you. We’re here to help you save time, look great and evolve your personal style over time.
Job Description
**Job Description ***
**About the Role**We are seeking a highly motivated Product Owner to support our Senior Product Manager in delivering features as part of a broader product vision and roadmap. This role is a critical bridge between the business, engineering, design, data science, and analytics teams, ensuring that product features are executed seamlessly and meet high-quality standards.
As a Junior Product Owner, you will play a hands-on role in writing detailed requirements, managing cross-functional collaboration, conducting quality assurance, and ensuring projects stay on track. The ideal candidate is someone with strong organizational skills, attention to detail, and a passion for delivering user-centered product features.
**Key Responsibilities**Requirements Gathering and Documentation · Write clear, detailed product requirements (user stories, acceptance criteria, functional specs, etc.) to define and communicate the scope of product features. · Collaborate with engineering, design, and data teams to refine and finalize requirements. · Ensure requirements align with the product vision and address user and business needs.
Cross-Functional Collaboration · Partner with engineering, design, and analytics teams to bring product features to life. · Act as a liaison between business stakeholders and technical teams to clarify requirements and resolve any ambiguities. · Facilitate feedback loops to ensure alignment across teams.
Quality Assurance · Conduct thorough quality assurance (QA) testing on new product features to ensure they meet user experience, functionality, and data requirements. · Identify and document bugs or discrepancies and collaborate with engineering to resolve them. · Maintain high standards for feature delivery by ensuring fit to requirements before deployment.
Project Management · Coordinate with various stakeholders to ensure timely delivery of project milestones. · Track and manage project tasks, timelines, and dependencies to keep initiatives on schedule. · Proactively communicate risks, blockers, and status updates to the Senior Product Manager and relevant stakeholders.
Data and Insights · Collaborate with analytics teams to ensure data requirements are integrated into product features. · Validate that features collect the necessary data for tracking performance and user behavior.
**Qualifications**Experience: · 1–3 years of experience in product ownership, product management, or a related role. · Experience working with cross-functional teams (engineering, design, data science, etc.). · Exposure to Agile methodologies and tools like JIRA or Asana.
Skills: · Strong ability to write clear, actionable product requirements. · Excellent attention to detail and organizational skills. · Basic understanding of software development processes. · Proficiency in conducting quality assurance (QA) and documenting test results. · Strong communication and collaboration skills.
Preferred: · Familiarity with data-driven decision-making and analytics tools (e.g., Tableau, Amplitude). · Experience working with wireframing tools or participating in design reviews.

8198 - Business Analyst Product Administration

# **Senior/Lead Node.js Engineer**

(6+ years of professional experience)
## **About the Role**
We are looking for a highly skilled **Senior or Lead Node.js Engineer** with a strong background in building scalable backend services and hands-on experience integrating complex systems. The ideal candidate brings deep expertise in modern JavaScript/TypeScript backend development, strong API design fundamentals, and working knowledge of at least one modern frontend framework (React, Angular, or Vue.js).
This role is backend-focused, though occasional collaboration with frontend teams is expected. Experience with AWS and automated testing is strongly preferred.
## **Responsibilities**
- Design, develop, and maintain **scalable backend services** using Node.js and TypeScript.
- Build and optimize **RESTful and GraphQL APIs**, data models, and integration layers.
- Mentor other developers and build learning paths for the team.
- Collaborate with frontend teams to ensure seamless integration across the stack.
- Implement **unit testing and integration testing** using modern test frameworks (Jest, Mocha, etc.).
- Design and maintain cloud-native solutions on **AWS** (Lambda, ECS, S3, DynamoDB, CloudWatch, etc.).
- Work closely with product managers, architects, and cross-functional teams to define technical requirements and deliver high-quality software.
- Participate in code reviews, contribute to engineering best practices, and improve development processes.
- Troubleshoot, debug, and optimize application performance and reliability.

## **Required Qualifications**
- **6+ years of professional experience** in software development.
- **Strong expertise in Node.js** (Express, Fastify, NestJS or similar).
- Experience working with **JavaScript or TypeScript** in production environments.
- Solid understanding of **backend architecture**, API design, authentication, and microservices.
- Experience integrating with **third-party services, internal APIs, and databases** (SQL or NoSQL).
- Experience writing **unit tests, integration tests, and using CI/CD pipelines**.
- Working experience on at least one frontend framework: **React, Angular, or Vue.js**.
- Full-stack experience.
- Hands-on experience with **AWS cloud services**.
- Strong communication skills and the ability to work in a distributed, collaborative environment.

## **Preferred Qualifications**
- Experience with **serverless architectures** (AWS Lambda).
- Experience with **message queues** (SQS, Kafka, RabbitMQ).
- Knowledge of **containerization** (Docker) and orchestration (ECS/EKS/Kubernetes).
- Familiarity with observability tools (New Relic, Datadog, OpenTelemetry).
- Experience with **DevOps practices**.

## **What We Offer**
- 100% remote work.
- Collaborative engineering culture with high-impact projects.
- Opportunities for growth, mentorship, and learning modern technologies.

Node.js JavaScript

8197 - Node.js JavaScript

JR 3868

Facilitates Agile ceremonies, coaches team on Agile principles, ensures team adheres to Scrum framework, removes impediments, tracks progress and metrics, communicates with stakeholders, manages project scope, budget, and timeline, and ensures timely delivery of high-quality products.
- Coaching the scrum team to apply appropriate processes to create successful products.
- Ensuring scrum principles and approaches are understood correctly by the development team and stakeholders; maximizing the performance of the team.
- Monitoring and improving the scrum process and project progress; helping solve impediments in the development process.
- Fostering self-organization and collaborative scrum team; sheltering the team from outside distractions to keep focus mainly on the agreed sprint goals.
- Facilitates daily stand-up meetings.
- Identifies and resolves project roadblocks.

8186 - Scrum Master Product Administration

JR 3843

_What We Need:_
- Strong .NET + Angular expertise with fullstack web development
- **Strong troubleshooting skills** - will support existing products with complex codebases
- **Must understand frontend concepts deeply**: NgRx state management, Angular patterns
- **Obsessed with API performance and API caching strategies**
- Expert in design patterns: Strategy, Factory, Event-Driven Design, SOLID principles
- Able to mentor team members and drive technical decisions
- **AI enthusiast** - increasing team engagement with AI tools (LangChain experience a plus)
- Experience with Traditional and Crypto investments a plus

_Projects:_
- White Label Advisor Managed Accounts
- Enterprise Authentication Service

_Must Have:_
- Can navigate and enhance legacy codebases
- Strong debugging and root cause analysis skills
- Performance optimization mindset
- Leadership in code reviews and technical direction
- API performance and caching is critical to our success
- We value clean, maintainable code using proven design patterns
- AI tool adoption is a team priority - enthusiasm for AI tools is a plus
- Mix of greenfield (Crypto) and legacy enhancement (Trading) work
- Strong collaboration and mentoring culture

8178 - C# C#

JR 3457

_What We Need:_
- Strong .NET + Angular expertise with fullstack web development
- **Strong troubleshooting skills** - will support existing products with complex codebases
- **Must understand frontend concepts deeply**: NgRx state management, Angular patterns
- **Obsessed with API performance and API caching strategies**
- Expert in design patterns: Strategy, Factory, Event-Driven Design, SOLID principles
- Able to mentor team members and drive technical decisions
- **AI enthusiast** - increasing team engagement with AI tools (LangChain experience a plus)
- Experience with Traditional and Crypto investments a plus

_Projects:_
- White Label Advisor Managed Accounts
- Enterprise Authentication Service

_Must Have:_
- Can navigate and enhance legacy codebases
- Strong debugging and root cause analysis skills
- Performance optimization mindset
- Leadership in code reviews and technical direction
- API performance and caching is critical to our success
- We value clean, maintainable code using proven design patterns
- AI tool adoption is a team priority - enthusiasm for AI tools is a plus
- Mix of greenfield (Crypto) and legacy enhancement (Trading) work
- Strong collaboration and mentoring culture

8177 - C# C#

### **Summary**
We are seeking a **Lead Data Scientist** to drive the computer vision capabilities of our AI-powered manufacturing intelligence platform. This role combines advanced vision modeling, multimodal reasoning, and data engineering to assess manufacturability and printability from images, schematics, and part metadata. The ideal candidate has deep expertise in applied computer vision, strong hands-on experience with data engineering pipelines that support ML workflows, and a background building production AI systems using Azure Machine Learning, Databricks, and agentic AI frameworks such as LangChain and LangGraph. This role is highly cross-functional and foundational to the platform’s intelligence layer.
### **Required Skills and Experience**
- **Computer Vision & Deep Learning:** Strong experience building, training, and evaluating CNNs, transformers, or multimodal models for image classification, feature extraction, defect detection, or segmentation using PyTorch or TensorFlow.
- **Industrial or Applied Vision Experience:** Background applying computer vision to real-world inspection, materials identification, part recognition, or manufacturing-related imagery — even if not directly in additive manufacturing.
- **Data Engineering for AI:** Demonstrated ability to build data ingestion and transformation pipelines that support ML workflows, including:
- Large-scale image ingestion
- Feature extraction and embedding generation
- Schema and metadata alignment
- Delta Lake pipelines
- Feature engineering and feature store integration
- Automated data validation and drift checks
- **Azure ML & MLOps:** Hands-on experience deploying, monitoring, and managing models using Azure ML, including model versioning, batch inference jobs, online endpoints, environment management, and automated training pipelines.
- **Databricks & Distributed Processing:** Proficiency in SQL, PySpark, and distributed compute patterns used for preparing, transforming, and analyzing large image and metadata datasets.
- **Agentic AI & Orchestration Experience:** Familiarity with LangChain, LangGraph, or similar frameworks for building tool-using AI agents and orchestrating multi-step, model-mediated workflows.
- **Model Observability & Drift Detection:** Experience implementing telemetry, monitoring pipelines, and drift detection using Azure ML Monitoring, Application Insights, or custom statistical techniques.
- **Software & Data Foundations:** Strong Python engineering skills, solid understanding of APIs and microservices, familiarity with structured/unstructured data modeling, and experience producing reproducible ML workflows.

### **Preferred Skills and Experience**
- Experience in manufacturing, industrial automation, mechanical engineering, or related computer vision applications.
- Experience processing 3D or geometric data: CAD files, point clouds, meshes, or depth imagery.
- Familiarity with vector database or embedding search systems used for multimodal reasoning.
- Experience optimizing models for performance, latency, and cost in production settings.
- Understanding of secure ML development practices aligned with NIST 800-53.
- Prior leadership experience mentoring junior data scientists and collaborating closely with data engineers and platform engineers.

### **General Requirements**
- **Education:** Degree (Master’s or Ph.D. preferred) in Computer Science, Data Science, Engineering, or a closely related field.
- **Experience:** 7+ years in machine learning or applied data science roles, with at least 3 years in computer vision and 3+ years in data engineering for ML pipelines.
- **Soft Skills:** Excellent communication, strong architectural thinking, ability to influence engineering and product teams, and comfort working in a fast-paced, iterative delivery environment.

Data Scientist AI

8175 - Data Scientist AI

Senior Azure Engineer with proven knowledge of architecting and Deploying Azure services within NIST 800-53 or similar requirements. 
 
Must Haves: 
Azure knowledge within regulated environments. Knowledge and experience of deploying Services to meet regulatory compliance in NIST 800-53. Support a Security by Design approach  
 
Experience of the following services
- Applications Gateway
- WAF
- Container App Environment and Container Apps
- Container registries
- Key Vault
- Cosmos DB
- SQL Server – Postgres
- Databricks deployment
- Integration with Azure AI services
- Azure Policy
- Private Link, Azure networking
- Entra and Entra Managed identities

Nice to Haves
- Azure Sentinel
- Log management
- Azure monitor
- Azure Auditing
- External Identities
- Identity Governance

Tooling:
- Terraform
- Github / Github Actions
- CI/CD
- SAST and DAST integration
- Deployment pipelines

8174 - DevOps Cloud, Infrastructure and ITOps

**Position Overview:**  The Data Engineer (DE) is responsible for designing, building, and maintaining data infrastructure and systems that enable efficient processing and analysis of large and complex datasets for use by our business stakeholders, data analysts, and for use in our end user-facing products. The ideal candidate will have a strong background in data modeling, as well as experience with data warehousing and ELT (Extract, Load, Transform) processes. As a member of the Data Engineering team within our Data & AI COE, the DE is situated in a central service role with high cross-functional engagement and impacts across all divisions of our organization. As we pursue a strategy of enhancing its value to organizational leaders and business learners through new forms of engagement and interactive product experiences, the DE will play a critical role in interfacing with product engineers, data scientists, and AI developers to enable their work. 

**Position Responsibilities:**
- Lead the full development life cycle including requirements analysis, technical specification, coding, deployment planning, and production support -- serving as both a hands‑on engineer and coordinator of vendor partners.
- Design, build, and maintain scalable data pipelines that meet reliability, security, and performance standards.
- Partner with analytics, data‑science, and business teams to ingest data and evolve data models that power BI dashboards, advanced analytics, AI/ML models, and SaaS applications.
- Secure executive and technical alignmentof data‑engineering architecture and solutions, engaging with the CIO, technical directors, solution architects, and business‑unit leaders.
- Deliver clear, timely technical artifacts including system overviews, data‑flow diagrams, stack diagrams, and runbooks to support decision‑making and future maintenance.
- Balance supportability, flexibility, cost, and performance when evaluating design options and making architectural decisions.
- Stay forward‑looking, ensuring all solutions align with enterprise IT strategy and scalability goals.
- Transition projects smoothly to operations, providing comprehensive documentation and knowledge transfer to support teams.

**Position Requirements:**
- **Education:** Bachelor's degree in computer science, engineering, or a related discipline.
- **Experience**: Extensive experience in data engineering (or closely related field) delivering production-grade pipelines and data platforms, at least 5 years.
- **Data Pipelines:** Proven ability to design, build, and operate high‑volume ELT/ETL pipelines that ingest, process, and transform data from diverse sources.
- **SQL Mastery:** Proven ability to write highly efficient, production‑grade SQL
- **Cloud Ecosystem:** Hands‑on work with core data services and related components for secure storage, orchestration, and automation.
- **Data Modeling & Warehousing:** Hands‑on experience designing schemas and maintaining data warehouses and lakehouses.
- **Data Quality & Governance:** Implement frameworks that ensure accuracy, completeness, consistency, and lineage of critical datasets.
- **Collaboration:** Excellent communication and stakeholder‑management skills; ability to translate business requirements into technical solutions.
- **Analytical Thinking:** Demonstrated strength in evaluating trade‑offs (supportability, cost, performance, flexibility) and recommending optimal designs.
- **Operations & Support:** Monitor pipelines, diagnose issues, and provide on‑call / production support with strong root‑cause analysis.
- **Programming:** Proficiency in python programming

**Preferred/Nice to Have**
- **Databricks** 
- **Snowflake**
- **dbt**

8157 - Data Engineer Data

### **FinOps Project Manager (FPM) Overview**
The FinOps Project Manager (FPM) is a strategic and execution-focused leader responsible for driving alignment, visibility, and delivery across FinOps initiatives spanning Finance, Product, Engineering, and Business teams. This role combines technical program management with financial accountability and agile execution, emphasizing cloud cost optimization, cross-functional collaboration, and the implementation of FinOps best practices.
FPMs act as force multipliers for their teams, enabling efficient execution by removing blockers, ensuring clarity of priorities, and fostering collaboration across stakeholders. They translate high-level organizational goals into structured, measurable, and actionable initiatives while maintaining rigorous standards for communication, documentation, and follow-through. Additionally, FPMs play a key role in identifying cost-saving opportunities, driving cloud financial efficiency, and ensuring teams are equipped with the tools and processes needed to make informed, data-driven decisions.
### **FinOps Responsibilities**
- Support planning, execution, and successful delivery of FinOps initiatives aligned with organizational goals.
- Establish and maintain KPIs related to cloud financial health, including tagging compliance and cost-per-workload metrics.
- Promote awareness of cloud economics and foster ownership of cost efficiency across Finance, Product, Engineering, and Business teams.
- Develop structured reporting to support leadership decision-making and enhance visibility into cloud expenditures.
- Monitor and report on cloud budgets, anomalies, usage patterns, and forecasts to ensure alignment with priorities.
- Help teams understand the value of FinOps recommendations, securing buy-in and integrating them into product roadmaps and backlogs.
- Contribute to the evolution of FinOps processes, tools, and governance frameworks.
- Identify opportunities to automate manual processes, improve reporting clarity, and enhance cloud cost governance.
- Leverage tools like AWS Cost Explorer, Cloudability, and AWS anomaly detection to identify, investigate, and resolve unusual cloud cost activities while implementing preventative measures.

### **General Responsibilities**
- Lead project planning, backlog refinement, sprint execution, and post-mortem ceremonies for one or more SRE teams.
- Proactively manage Jira hygiene and workflows—ensuring tickets are well-defined, estimated, assigned, and properly linked to Epics, Themes, and priorities.
- Track and report progress on engineering and cost-focused initiatives using dashboards, Confluence documentation, and recurring status updates.
- Facilitate regular team ceremonies and leadership reviews, keeping meetings focused, data-driven, and outcome-oriented.
- Support compliance, access control, and decommissioning efforts across cloud and on-prem systems.
- Act as a steward of engineering time—minimizing context-switching, streamlining workflows, and closing the loop on stale or duplicative work.
- Contribute to shared documentation and knowledge management across the program.
- Continuously improve team processes through retrospectives and experimentation.

### **Qualifications**
- English proficiency and proven ability to build relationships across teams.
- Available to work 9am–5pm US Eastern Time.
- 5+ years of experience in technical program management, project management, or product ownership roles within FinOps or software engineering/development teams.
- Experience with cloud financial tools such as AWS Cost Explorer or Cloudability.
- Ability to influence without authority and drive consensus across teams.
- Strong understanding of Agile/Scrum principles and Jira/Confluence best practices.
- Familiarity with cloud-native technologies (AWS, Kubernetes, ECS, Terraform).
- Foundational knowledge of AWS services, billing constructs, and cost optimization techniques (rightsizing, reserved instance planning).
- Strong analytical skills; proficiency in Excel or SQL preferred.
- Comfortable analyzing data to drive decisions and communicating findings clearly to both engineers and executives.
- High attention to detail, follow-through, and accountability.
- Empathy and communication skills to work with diverse, distributed engineering teams.

### **Preferred Experience**
- Experience working within a FinOps practice.
- Exposure to cloud financial governance and FinOps principles.
- Experience collaborating with Finance, Product, Engineering, and Business teams.
- AWS Certified Cloud Practitioner or FinOps Certified Practitioner.
- Experience with multi-cloud environments (AWS, Azure, GCP, OCI).

### **Why This Role Matters**
This role is critical to improving cloud cost transparency, financial accountability, and operational efficiency across the organization. By partnering closely with Finance, Product, Engineering, and Business teams, the FinOps Project Manager ensures cloud budgets are well-understood, optimization opportunities are identified, and cloud consumption aligns with strategic business goals. This position directly contributes to long-term scalability, modernization, and cost governance efforts.

8152 - Project Manager Product Administration

JR 4026

**About This Job**
Design, build, and maintain CI/CD pipelines supporting our enterprise development teams. This role will focus on pipeline development across Azure DevOps and GitHub Enterprise while ensuring reliable, automated software delivery.
- Design and implement YAML-based CI/CD pipelines in Azure DevOps and GitHub Actions
- Configure and maintain GitHub Self-Hosted Runners, including infrastructure provisioning and scaling
- Develop automation scripts using PowerShell and Bash for build, deployment, and operational tasks
- Collaborate with development teams to optimize build and release workflows
- Troubleshoot pipeline failures and implement improvements to reduce build times and increase reliability
- Maintain documentation for pipeline configurations and deployment processes

8145 - DevOps Cloud, Infrastructure and ITOps

**Job Summary:**
As a Security Analyst, you will join a team of cybersecurity professionals delivering proactive Managed Security and Managed Governance services. In this role, you'll help safeguard our clients' environments by identifying vulnerabilities, deploying effective protective measures, and working collaboratively to mitigate risks while ensuring compliance with industry standards and regulations. The ideal candidate is highly analytical, possesses hands-on experience with Microsoft security solutions, and is passionate about staying ahead of emerging cyber threats.
**Key Responsibilities:**
- **Security      Monitoring & Analysis:**
    - Analyze       cloud security posture on Azure-hosted systems and networks using Defender       for Cloud and Defender XDR/EDR.
    - Continuously       monitor security logs and data sources integrated into Microsoft       Sentinel, ensuring comprehensive coverage and efficient analysis that       identifies potential security incidents or vulnerabilities using alert guides       and methods based on the MITRE ATT&CK framework.
    - Respond       to security incidents by investigating alerts, performing triage, and       executing remediation actions. Automate incident response workflows using       Azure Logic Apps.
    - Conduct       real-time, proactive threat hunting analysis using KQL to identify and       mitigate potential security risks and perform forensic investigations as       necessary.
    - Perform       continuous vulnerability scans of the attack surface.
    - Develop       and publish alert guides, knowledge base articles, and training material.
    - Configure       and analyze threat Intel feeds to identify cyber threats and make       recommendations proactively.

o Develop and optimize analytic rules in Azure Sentinel to detect potential threats and anomalies. Analyze client environments and configurations to identify issues and opportunities for improvement proactively.
- **Incident      Response:**
    - Lead       or assist in the incident response process from detection through       resolution.
    - Develop,       document, and implement incident response plans and playbooks.
    - Collaborate       with cross-functional teams to mitigate and recover from security       incidents.
    - Document       Root Cause Analysis and Incident Event Reports.
    - Analyze       and improve security automation rules to reduce mean time to       remediation.
- **Vulnerability      and Risk Management:**
    - Perform       regular vulnerability assessments and risk analyses.
    - Recommend       and implement measures to address identified security risks.
    - Stay       current on emerging threats, vulnerabilities, and Microsoft security       technologies.
    - Perform       Phishing Attack exercises across the enterprise and MSSP clients.
- **Policy      Development & Compliance:**
    - Assist       in creating and enforcing security policies, procedures, and guidelines.
    - Ensure       adherence to industry regulations and standards (e.g., NIST SP 800-171,       ISO 27001 (2022), GDPR, PCI-DSS, HIPAA).
    - Participate       in security audits, security questionnaires, penetration tests, and provide       reports and recommendations for improvements.
- **Collaboration      & Communication:**
    - Produce       monthly security posture reports with Security KPIs for MSSP       clients.

o Communicate security issues and recommendations to technical and non-technical stakeholders.
- Provide       security awareness training and support to employees across the       organization.
- Work       closely with other security teams and stakeholders to enhance the overall       security posture of client organizations.
- Provide       recommendations for improving threat protection practices.
- Excellent       verbal and written communication skills. Ability to present findings and       recommendations effectively.

**Qualifications:**
- **Education      & Experience:**
    - Bachelor’s       degree in computer science, Information Security, related field, or       equivalent work experience.
    - Minimum       of 3 years in cybersecurity, focusing on security operations and incident       response. At least 2 years of experience with Azure Sentinel.
- **Technical Skills:**

o  Hands-on experience with Azure Sentinel, including developing analytic rules and automated workflows. Familiarity with network security tools (IDS/IPS, firewalls, antivirus solutions) and endpoint protection technologies.
- Experience       with vulnerability assessment tools and risk management frameworks.

## o Proficiency in Kusto Query Language (KQL.  Must have experience in creating and optimizing queries for threat detection and investigation.
- **Certifications:**
    - **Required:       SC-200 - Security Operations Analyst Associate - Candidates must have the cert and be able to present proof before employment commences.**
    - Recommended:       AZ-500 - Azure Security Engineer Associate, CompTIA Security+, Certified       Cyber Security Analyst, CCSP.
- **Soft      Skills:**
    - Strong       interpersonal and presentation skills.
    - Strong       analytical and problem-solving abilities.
    - Excellent       verbal and written communication skills.
    - Ability       to work effectively both independently and as part of a team.
    - Detail-oriented       with a proactive approach to security challenges.
    - Team       player, task-oriented, and eager to learn.

**Why Join Us?**
- Be      part of an innovative, Premier Microsoft Partner and Azure Expert MSP      company.
- Leading      cutting-edge security operations leveraging the best in Microsoft security      technologies.
- Work      in a collaborative environment focused on growth, alignment, and      excellence.

Cybersecurity Cloud, Infrastructure and ITOps

8142 - Cybersecurity Cloud, Infrastructure and ITOps

## JR3771
**About This Job**
Leads and manages a team of software developers to design, develop, and maintain software applications. Oversees project timelines, budgets, and quality assurance. Collaborates with stakeholders to identify business requirements and ensure solutions meet their needs.
- Monitors all development activity, costs, quality and client requirements; delivers plans and reports to senior management.
- Ensures infrastructure and resource support to development groups and teams.
- Assures continuous alignment of development plans and activity with company goals and objectives. Coordinates with marketing and development in product introductions and launches.
- Directs, motivates and develops managers and teams. Supports the culture and values of the organization. Facilitates smooth workflow; ensures high standards and quality of technical work.
- Manages software development team.
- Oversees software development projects.
- Implements software development best practices.
- Collaborates with cross-functional teams.

8136 - C# C#

This position is a for a **Senior Back-end developer for the RBA project**.  This is expected to be a long-term assignment. We are looking for a dedicated team member who:
- Has a proven track record of delivering results
- Is a proactive self-starter and a curious problem solver
- Thrives in a fast-paced environment
- Is a continuous learner
- Is prepared to actively participate in the team and the scrum process
- Has experience / awareness with unosquare AI tools and best practices

8130 - C# C#

This position is a for an **Senior Back-end developer for the RBA project**.  This is expected to be a long-term assignment. We are looking for a dedicated team member who:
- Has a proven track record of delivering results
- Is a proactive self-starter and a curious problem solver
- Thrives in a fast-paced environment
- Is a continuous learner
- Is prepared to actively participate in the team and the scrum process
- Has experience with unosquare AI tools and best practices

8129 - C# C#

This position is a for an **LEAD Back-end developer for the RBA project.  This positions should be filled in the US / UK**.  We are looking for a dedicated team member who:
- Has a proven track record of delivering results
- Is a proactive self-starter and a curious problem solver
- Can Lead the Back-end development and mentor two Senior BE Devs (likely from LaTam)
- Thrives in a fast-paced environment
- Is a continuous learner
- Is prepared to actively participate in the team and the scrum process
- Has experience with unosquare AI tools and best practices

8128 - C# C#

**JR3725**

**About This Job**

Intermediate Developer – .NET / Redis **Role Summary**We are looking for an Intermediate Developer with strong hands-on experience in **.NET**, and **Redis caching** to build and enhance enterprise applications. The ideal candidate will have a solid engineering mindset, good problem-solving abilities, and the ability to work in an agile team environment. **Required Skills & Experience**
- 2–4 years of software development experience.
- Strong knowledge of **C#**, **ASP.NET Core**, APIs, and microservices.
- Experience with **Redis (Stack/Cluster)** configuration and usage patterns.
- Understanding of SQL databases (SQL Server).
- Familiarity with cloud platforms (Azure preferred).
- Good understanding of RESTful design and integration patterns.
- Knowledge of Git, CI/CD workflows, and agile development.
- Good to have outsystems api development experience.

**Nice to Have**
- Experience with message queues (Kafka/Service Bus/RabbitMQ).

Exposure to containerization (Docker/Kubernetes).

8125 - C# C#

## JR3764
**About This Job**
Designs, develops, and maintains software applications. Collaborates with cross-functional teams to identify and prioritize software features. Writes clean and efficient code, and tests and debugs applications. Keeps up-to-date with emerging trends and technologies in software development.
- Develops detail program specifications and programs for these components.
- Develops and tests interfaces between software products and products of other vendors.
- Creates and tests modules and components for compliance to design specifications.
- Participates in design and code reviews; addresses findings.
- Develops software applications.
- Collaborates with team members.
- Maintains codebase.
- Redis Experiencie at least 1 year
- comfortable working in **microservices-based architectures**.
- willing to learn out systems

8121 - C# C#

This position is a for an **experienced Sr. Data Engineer position for the RBA project**. This is expected to be approximately a 4 month assignment.  
### Summary
We are seeking an experienced Senior Data Engineer to partner closely with a Solutions Architect and cross functional stakeholders to define, design, and implement a scalable data architecture within an Azure environment. The position requires a strong balance of hands on engineering expertise, architectural thinking, and the ability to translate business needs into durable data models that support both current operational requirements and future analytics and reporting needs.
The ideal candidate is a proactive self starter with a proven track record of delivering results in fast paced environments. You should be comfortable working from first principles, assessing enterprise applications and data requirements from the ground up, and providing thoughtful pushback on requirements when needed to ensure long term scalability, data quality, and maintainability.
### Required Experience
- Senior level experience as a Data Engineer designing and implementing production data solutions
- Strong experience working in Azure based data platforms and backend services
- Hands on experience with data modeling, including relational and document based data structures
- Experience designing data architectures that account for client data isolation or siloing requirements
- Proven experience designing and building ETL or ELT pipelines with a focus on data quality, validation, and testing
- Experience translating business and functional requirements into logical and physical data models
- Ability to analyze reporting and analytics needs upfront, including dimensional modeling or related analytical design techniques
- Experience assessing enterprise applications and data requirements from the ground up
- Strong collaboration skills, with experience working closely with architects, analysts, and engineering teams
- Active participation in agile or scrum based delivery processes
- Proven ability to deliver results under tight timelines
- Experience with Unosquare AI tools and adherence to Unosquare data and engineering best practices

### Preferred Experience
- Experience designing or supporting architectures that consider future multi region data replication strategies
- Experience working with mixed workloads involving transactional, analytical, and semi structured data
- Familiarity with data governance, security, and compliance considerations in multi tenant or client isolated environments
- Experience supporting downstream analytics, reporting, or business intelligence use cases
- Prior experience working on time bound project or consulting style engagements
- Exposure to modern data testing frameworks and data observability practices

### General Requirements, Education, and Certifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent professional experience
- Azure related certifications such as Azure Data Engineer Associate or similar are preferred but not required
- Strong communication and interpersonal skills, including the ability to clearly explain technical concepts to non technical stakeholders
- Demonstrated ability to challenge assumptions and push back constructively on requirements when appropriate
- Curiosity and commitment to continuous learning and professional growth
- Ability to thrive in a fast paced, collaborative team environment

8113 - Data Engineer Data

This position is a for a **Sr. Dev Ops / Infrastructure candidate for the RBA project**.  This is expected to be a long-term assignment. We are looking for a dedicated team member who:
- Has a proven track record of delivering results
- Is proactive and a self-starter
- Thrives in a fast-paced environment
- Is prepared to actively participate in the team and the scrum process
- Has experience building enterprise applications from the ground up
- Has experience with unosquare AI tools and best practices

8104 - DevOps Cloud, Infrastructure and ITOps

**Job Description: Technical Project Manager**
Temporary Contract (3-6 months estimated)
We are seeking an experienced Technical Project Manager to lead our development initiatives,
focusing on modern, full-stack applications. This role requires a strong understanding of
software architecture and the specific technologies used by the team (C#, .NET, Next.js/React)
to ensure effective planning, risk management, and delivery within an Agile framework.
**Responsibilities**
**Project Leadership & Delivery**
● Manage the full lifecycle of software development projects from initiation to deployment, ensuring they are delivered on time, within budget, and to the required quality standards.
● Lead project scoping, estimation, scheduling, and resource allocation.
● Proactively identify and manage project risks, issues, and dependencies, communicating their impact and mitigation strategies to stakeholders.
● Serve as the primary liaison between the development team and product owners, business stakeholders, and other cross-functional departments. 
**Agile Execution & Process**
● Drive and facilitate all Agile ceremonies, including sprint planning, daily stand-ups, retrospectives, and sprint reviews, ensuring the team adheres to Scrum or Kanban principles.
● Maintain and manage the product backlog, ensuring user stories are clearly defined, properly prioritized, and estimated by the development team.
● Monitor and report on team velocity, burndown, and other key performance indicators to ensure continuous improvement and predictable delivery.
● Foster a culture of collaboration, accountability, and continuous improvement within the engineering team. 
**Technical & Architectural Oversight**
● Utilize a strong understanding of modern web application development concepts, including API development, front-end frameworks (like React/Next.js), and back-end platforms (C#, .NET 8.0).
● Work closely with the technical team to review architectural decisions and technical designs, ensuring proposed solutions are feasible, scalable, and align with the technical
strategy.
● Translate complex technical concepts and dependencies to non-technical stakeholders and vice-versa.
● Understand the importance of data integrity and database technologies like SQL and Entity Framework in project planning and execution.
**Required Qualifications**
● 5+ years of experience managing technical projects, with at least 3 years in a project manager or Scrum Master role for a software development team.
● Proven expertise in leading teams using Agile methodologies (Scrum, Kanban).
● Demonstrable technical fluency in modern software stacks. You don't need to code, but you must understand the complexities of:
○ Back-end: C#, .NET Core / .NET 8.0, and API development.
○ Front-end: React and frameworks like Next.js.
○ Data: Relational databases (SQL) and Entity Framework.
● Experience with project management and Agile tools (e.g., Jira, Azure DevOps, Trello).
● Exceptional communication, negotiation, and conflict resolution skills to manage diverse stakeholders.
● A Bachelor's degree in Computer Science, Business, or a related technical field, or equivalent practical experience.
**Preferred Qualifications**
● Certified ScrumMaster (CSM) or Project Management Professional (PMP) certification.
● Experience managing projects that utilize .NET Aspire or other cloud-native technologies.
● Experience in the Music Industry or with consumer-facing media platforms.
● Experience with DevOps processes and CI/CD pipelines.

8101 - Project Manager Product Administration

### **Observability Engineer**
**Summary**
We are seeking an Observability Engineer with strong expertise in **New Relic** or **Datadog** to implement and optimize observability solutions across our platforms. This role focuses on instrumentation, alerting, monitoring, and improving observability maturity in a cloud-native environment. The ideal candidate understands how to integrate observability tools with distributed systems, troubleshoot performance issues, and collaborate with DevOps and SRE teams to ensure reliability and scalability.
### **Core Responsibilities**
- Implement and configure **New Relic** or **Datadog** for application and infrastructure monitoring
- Develop and maintain **instrumentation** for metrics, logs, and traces
- Set up **alerting policies**, dashboards, and reporting for proactive monitoring
- Collaborate with DevOps and SRE teams to understand requirements and deliver observability solutions
- Diagnose and resolve issues related to **performance, reliability, and visibility gaps**
- Support **incident response** and root cause analysis using observability data
- Contribute to improving **observability posture** and best practices across teams

### **Required Skills**
- Hands-on experience with **New Relic** or **Datadog** (implementation and production deployment)
- Strong understanding of **instrumentation**, telemetry, and alerting strategies
- Proficiency in **AWS**, **Terraform**, and **Python**
- Familiarity with **containerized environments** (ECS/EKS) and microservices
- Knowledge of **CI/CD pipelines** and automation practices
- Ability to troubleshoot across the stack (application, infrastructure, network)
- Experience with **Core Web Vitals**, performance monitoring, and optimization

### **Nice to Have**
- Experience with other observability platforms (Dynatrace, Prometheus, Grafana)
- Familiarity with **chaos engineering** and failure injection testing
- Understanding of **SRE principles** and reliability-focused design
- Conversational in multiple scripting languages (Bash, YAML, JSON, etc.)

### **General Requirements**
- **Education:** Bachelor’s degree in Computer Science or related field (or equivalent experience)
- **Experience:** 3+ years in observability, monitoring, or SRE/DevOps roles
- **Tools:** New Relic, Datadog, AWS, Terraform, Python, Git, CI/CD


• **as a contributor**
o Hands-on design, analysis, development and troubleshooting of highly-distributed
large-scale production systems and event-driven, cloud-based services
o Ensure repeatability, traceability, and transparency of our infrastructure
automation (infrastructure-as-code, monitoring-as-code)
o Collaborative solutioning of enterprise applications with development teams
o Define, monitor and report on service level indicators for applications workloads
o Support on-call rotations for operational duties that have not been addressed with
automation, with an eye for correcting issues that result in on-call alarms
o Maintain telemetry that improve the visibility to our applications' performance
and business metrics and keep operational workload in-check
o Develop, communicate, collaborate, and monitor standard processes to promote
the long-term health and sustainability of operational development tasks.
o Support healthy software development practices, including complying with agile
software development methodology, performing code reviews, work packaging,
and continuous delivery
o Observe and document steady state production levels, growth patterns
o Coordinate improvements of existing software and infrastructure to meet
resiliency goals
o Terraform project creation, updates, maintenance, decommissions
o Alert/Monitoring creation, updates, maintenance, decommissions
o Any other project work that comes in. You will be the team lead but will be
expected to add individual contributor value as well.
• _Observability General_o Actively monitor platform cost (Datadog, New Relic) and identify cost savings
measures without reducing tool effectiveness.
o Ownership of reliability, uptime, system security, cost, operations, capacity,
resiliency and performance-analysis thereof of any components that are involved
in observability.
o Define proper alerts/monitors/dashboards for monitoring platform costs to be able
to intervene and fix misconfigurations detected that would drive up observability
costs.
o Maintain telemetry that improve the visibility to our applications' performance
and business metrics and keep operational workload in-check
o Collaborate with dev teams to identify and catalog effectiveness of monitoring
and observability configurations
o Observe and document steady state production levels, growth patterns within the
tools and assist DPG leadership in forecasting future tool license needs
o Monitor the current age and recommendations of New Relic and Data Dog
regarding critical patches and updates to client agents, and as part of the Cloud
Engineering team, ensure that the updates are tested and then pushed out via
automated AMI updates where appropriate.
• _Platform Administration_
o Manage user access, with an eye toward least privileged access, and appropriate
grouping rules to foster collaboration and understanding.
o Work with development teams and SREs when onboarding new applications into
the tools, to ensure that best practices are met and complied with.
o Define best practices with a continual learning model of studying feedback loops
that the tools provide, dropping used features, and advocating for the ones that
add value.
o Track consumption against license costs, and forcast future growth reduction both
in support of fiscal year budget planning as well as contract renewal.
o Analyze event attributes and determine where there is unnecessary, redundant or
unwanted data on a metric or event record and utilize drop filters to reduce, and
eventually reduce at source
o Set the sample rates appropriately for event collection frequency and sample size
to achieve targets for data consumption
• _Training and Advocacy_
o Collaborate with vendors to identify the best training modules suited for our team's consumption
o Work directly with dev teams when auditing their use of the tool, to facilitate
education into proper tool usage and maximize developer value of the tool.
o Solicit feedback from developers and users of the tools to understand common
usage behavior, pain points, and need, and translates that into actionable feedback
for the vendors and work to improve product capabilities as advocates on our
behalf.

**New Relic:**• Be an expert in data management. Understand which accounts, applications are contributing to the data ingest load and validate that the data being sent in is actually useful. Proactively monitor ingest patterns and develop a preditive model to determine
what an appropriate monthly allowance should be that accounts for the cyclical usage patterns in a typical US education semester pattern.

• Maintain that the OKTA saml integration that automates user provisioning and
deprovisioning. Audit the requests from our tools to grant licenses and keep track of
which BU they are with (DPG, A3K, GTS) so that we can begin charging back Full
users. Basic users are free and do not require auditing. Keep track of “last active” date
and keep us under 500 “Full Platform” users. (at 476 at the time of this writing)
• Disable or actively rejet “invite users”. We want all user onboarding to happen through
out tools.
• Audit and refine the RBAC controls (Access Management) inside New Relic. Make sure
that we empower users but also prevent them from accidentally causing excessive data
ingest.
• Audit and track API keys. Learn who uses then and for what purpose. Develop and
maintain a process for key rotation
• Integrations? There’s a ton of stuff here. Needs reserach and recommendations for how
we leverage w/o blowing up data ingest.
• Domain Management: https://onenr.io/0dQebAPLYwe What is this? Should we be using
it?
• Workloads: These are useful prebuilt dashboards, and NR’s attempt to minic DD
“Service Catalog”. poorly. But let’s make sure we are using them effectively as they are
intended to be the “guided tour” of team ownership of applications, and I expect the
“view” to be used to allow novice users to quickly browser and understand metrics, then
find dashboards and runbooks.

• Drop Filters
o This is an extensive topic, but in short you can write a select query that identifies
specific attributes, metrics, or events and on the ingestion of data into the edge of
new relic, we can “drop” specific data elements. This is the primary way that
SREs can manage our ingest budgets without having to continually release
changes at the shipper. This is an advantage that New Relic has over DataDog
because in NR the data is dropped before ingest billing is calculated, and in
DataDog, it is dropped AFTER the initial ingest (but prior to storage) is
calcualted. Thus, this is a feature the observability engineer must know intimately.
o Using NerdGraph: There are areas inside New Relic that can only be managed via
GraphQL. The OE will need to be a master of this API and understand the
nuances in order to script automation to mange the various facets of new relic. It
is always preferrable to craft repeatable scripts that can be trigged off of
ServiceNow integration for various activities over manual steps.

• Synthetics:
o Understand and advise on which type of test is appropriate.
o Record, Edit, assert, and replay synthetic tests to ensure they are useful and
consistent for uptime SLO measurements, as well as incident escalation.
o Manage our fleet of private locations (minions) and ensure they are upgrade with
the latest headless runtimes• Apps
o We have several third party apps installed, and these require periodic upgrades
and lifecycle maintenance.
o Research newly available apps as part of R&D to determine if they would add
value to the SRE practice or aid in developers. Alongside the training above, the
OE would provide periodic “Show & tells” of new features in New Relic that may
benefit our company.

• Infinite Tracing
o Understand and recommend data implications of using this feature to ensure that
the budget is adhered to, and consequences/benefits of using this style of trace
ingest vs. standard.

• Error reporting and collections
o Understand and advocate for correlation and escalation of errors within this tool.
• Service Levels
o We have adopted SLO/SLI and thus full built out service levels. The OE is
responsible for auditing and validating that appropriate service levels are set for
all key applications. They do this by working with SRE teams to understand top
applications.

**DataDog**:
• Track and refine overall Log Ingestion Configuration. Define standards aroudn retention
rules and indexes, and implications of data rehydration.

**Understand pillars of observability:**
• Metrics - numerical representations of data that are measured over time intervals
• Logs - a system-generated record of data
• Traces - the end-to-end journey of a transaction within the system

**Understand our systems, technologies and dependencies**
• understand the technologies and architectures in use
• learn how request flow through system
• learn dependencies between systems
• learn what makes these items observable
• observe and monitor while minimizing overlap, waste and spend

**Data prep, routing, parsing, enrichment, storage**
• get the _right_ data from source to destination quickly and efficiently
• vendor agnostic solution to store, route, parse, enrich and/or filter our data before sending
to observability platform (future)**Tool Configuration and Administration**
• user provisioning and permissions (e.g. okta, rbac)
• agent configuration and deployment (e.g. apm, infra, sampling rates)
• 3rd party integrations (e.g. aws, azure, sampling and polling rates)
• log shippers (e.g. ecs, k8s, lambda, standalone, kinesis)
• understand system limits (e.g. api limits, logging limits, ingestion limits, parsing limits)
• pipelines, parsers, processors, indexes, custom metrics, remappers, archives, facets,
views, dashboards,
• monitor usage and spend continuously
• automate setup and configuration through automation

**Features**
• Understand the feature set of each tool we use (e.g. apm, infra, network, storage,
integrations, dashboards, monitoring)
• learn how to use them effectively and efficiently (e.g. sampling rates)
• make recommendations to teams and DPG
• suggest recommended training
• Pay attention to observability trends, tools, features and approaches

**Monitoring and Alerting**
• learn how to use dashboards and alerting effectively
• educate teams on how to build informative, succinct and actionable dashboards
• educate teams on how to build actionable alerts
• learn and advocate for monitoring as code
• help us arrive at a common MaC solution
• ensure necessary integrations are present and functional (e.g. slack, pagerduty)
• produce dashboards that shows alert volume by platform, application and team
• help teams establish SLOs

**Data Ingestion and Spend Analysis**
• understand the end-to-end cost of shipping a GB of data from both a cloud hosting and
observability platform
• help establish and enforce minimum tagging standards so we can visualize our data
ingestion and spend• build monitoring an alerting on both on ingestion and spend to proactively catch
inefficient and unnecessary ingestion
• make this information visible to teams and management through dashboards and reports
• use historical data to help forecast future needs and spend
• understand the cost models used by new relic, data dog and amazon
• understand different types of data being ingested (e.g. metric, transaction, spans, logging,
system, process, network, storage, synthetic, integrations)
• examine logs and data for sensitive information

**Ongoing Team Support**
• provide best practices to teams (e.g. use allow/exclusion lists, don’t send in data about
every running process when you are interested in only one)
• provide suggested training paths for tools and features
• help answer questions within support channels (e.g. distributed tracing vs transactions)
• help teams establish proper SLOs

**Vendor Management**
• review ongoing issues with them
• advocate for new features
• attend quarterly business review meeting

**Future**
• help inform our observability roadmap
• how to leverage “AI” tooling being offered by each vendor
• set up a central observability aws account which allows us to monitor resources and logs
across aws accounts
• find a vendor agnostic solution like ?? that helps us route, parse, enrich, filter and drop
our logs before shipping up to observability tool

8100 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8099 - Site Reliability Engineer Cloud, Infrastructure and ITOps

Are you looking for a career that makes a positive difference in your life and reimagines learners and educators across the globe?   Do you want to work with fun and social people in a positive and engaged virtual office environment?
We are hiring a ** Site Reliability Engineer \**who will build and support reliable, high-capacity, and well-performing systems in support of our mission to protect and improve our customer platforms, with an ever-watchful eye on reliability, security, performance, cost, and operational excellence.
As a Site Reliability Engineer, you will collaborate in a DevOps model with product development teams; designing, deploying, and managing automation tools that increase predictability as well as time to market while reducing cost.
**Our cloud stack includes:**
- **Cloud:** AWS ( Cloudfront, S3, EC2, ECS, SES, SQS, SNS, Load Balancing, VPC, Config, Systems Manager, Lambda, API Gateway, DB services many more).
- **Cloud (**OCI cloud know how a plus. ( Exacs,OCI Compute, Load Balancers, Networking, VCN, Object storage)
- **Infrastructure as Code**: Terraform
- **Programming**: Python, Golang, Bash , Ansible
- **Containers**: AWS ECS
- **Security:** Rapid7, WAF
- **Web**: Apache httpd, Apache Tomcat, Angular
- **Config Management and provisioning**: Ansible, Packer
- **Telemetry:** NewRelic, CloudWatch, DataDog
- **DevSecOps**: Artifactory, Jenkins, CircleCI, SonarQube, Jfrog X-Ray, Control Tower, GitHub Enterprise and more

**Your contributions**
- _Cloud Engineering_
    - Collaborate with product development teams in a DevOps model, designing, deploying, and managing automation tools to enhance predictability and accelerate time to market
    - Identify the highest-impact opportunities to optimize existing systems; ensuring “right-sized” solutions in consideration of technical and business constraints
    - Drive initiatives to enhance system reliability and performance
    - Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code)
    - Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences
    - Actively monitor AWS costs, using optimization tools to maximize ROI while meeting Service Level Objectives.
- _Observability Engineering_
    - Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency, and performance-analysis thereof
    - Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels
    - Ensure that the architecture and deployment models are adequately designed to meet SLA commitments
    - Serve as the primary point of contact during major incidents for your application, and demonstrate the ability to identify and resolve issues that trigger on-call alarms.
    - Maintain and enhance telemetry systems to improve visibility into application performance and business metrics, ensuring operational workloads are effectively managed
    - Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks
- _DevSecOps_
    - Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery
    - Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities
- _Resiliency Engineering_
    - Collaborate with dev teams to identify failure points and blast radius of systems
    - Validate the effectiveness of monitoring and observability configurations
    - Coordinate failure injection testing
    - Observe and document steady state production levels, growth patterns
    - Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load
    - Coordinate improvements of existing software and infrastructure to meet resiliency goals
- Mentor and nurture engineers across varying levels of experience; foster growth by setting high-reaching goals, and providing support to achieve them.
- Ability to expand and collaborate across different levels and stakeholder groups.
- Documents and shares knowledge within the organization via internal forums and communities of practice.
- Good to have Kubernetes experience, EKS or managed their own Kubernetes clusters
    - Must have used terraform to create infrastructure within AWS. Must bring an automation-first mindset to the team.
    - On-call participation required. Person will lead triage bridges when necessary
    - Will be expected to monitoring customer experience, application metrics like golden signals/KPIs and infrastructure health.
    - Needs to work proactively across team boundaries on a daily basis.

**Qualifications**
- Experience as a software engineer, with practical experience developing, debugging, and deploying enterprise applications
- Experience with infrastructure automation technologies, preferably Terraform
- Experience in container/container-fleet-orchestration technologies, preferably EKS or ECS
- Versatility with troubleshooting diverse sets of hosting technologies:  web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms.
- Experience with continuous-deployment based software development lifecycles (e.g. CI/CD)
- Experience with application caching strategies and high concurrency workloads
- Strong communication, problem solving, root cause analysis and systems engineering skills
- Ability to design and manage escalation response plans from monitoring, react, respond, remediate and retrospect in culturally aligned (proactive, customer focused, collaborative, data-driven) ways.
- Demonstrated expertise building and managing highly scaled production infrastructure in the cloud
- BS Degree in Computer Science (or related technical field and/or equivalent industry experience)

8095 - Site Reliability Engineer Cloud, Infrastructure and ITOps

Are you looking for a career that makes a positive difference in your life and reimagines learners and educators across the globe?   Do you want to work with fun and social people in a positive and engaged virtual office environment?
We are hiring a **Senior Site Reliability Engineer **who will build and support reliable, high-capacity, and well-performing systems in support of our mission to protect and improve our customer platforms, with an ever-watchful eye on reliability, security, performance, cost, and operational excellence.
As a Sr Site Reliability Engineer, you will collaborate in a DevOps model with product development teams; designing, deploying, and managing automation tools that increase predictability as well as time to market while reducing cost.
**Our cloud stack includes:**
- **Cloud:** AWS ( Cloudfront, S3, EC2, ECS, SES, SQS, SNS, Load Balancing, VPC, Config, Systems Manager, Lambda, API Gateway, DB services many more).
- **Cloud (**OCI cloud know how a plus. ( Exacs,OCI Compute, Load Balancers, Networking, VCN, Object storage)
- **Infrastructure as Code**: Terraform
- **Programming**: Python, Golang, Bash , Ansible
- **Containers**: AWS ECS
- **Security:** Rapid7, WAF
- **Web**: Apache httpd, Apache Tomcat, Angular
- **Config Management and provisioning**: Ansible, Packer
- **Telemetry:** NewRelic, CloudWatch, DataDog
- **DevSecOps**: Artifactory, Jenkins, CircleCI, SonarQube, Jfrog X-Ray, Control Tower, GitHub Enterprise and more

**Your contributions**
- _Cloud Engineering_
    - Collaborate with product development teams in a DevOps model, designing, deploying, and managing automation tools to enhance predictability and accelerate time to market
    - Identify the highest-impact opportunities to optimize existing systems; ensuring “right-sized” solutions in consideration of technical and business constraints
    - Drive initiatives to enhance system reliability and performance
    - Ensure repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code)
    - Participate in continual learning of the AWS ecosystem, game day scenarios, and professional conferences
    - Actively monitor AWS costs, using optimization tools to maximize ROI while meeting Service Level Objectives.
- _Observability Engineering_
    - Ownership of reliability, uptime, system security, cost, operations, capacity, resiliency, and performance-analysis thereof
    - Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels
    - Ensure that the architecture and deployment models are adequately designed to meet SLA commitments
    - Serve as the primary point of contact during major incidents for your application, and demonstrate the ability to identify and resolve issues that trigger on-call alarms.
    - Maintain and enhance telemetry systems to improve visibility into application performance and business metrics, ensuring operational workloads are effectively managed
    - Develop, communicate, collaborate, and monitor standard processes to promote the long-term health and sustainability of operational development tasks
- _DevSecOps_
    - Support healthy software development practices, including complying with agile software development methodology, building standards for code reviews, work packaging, and continuous delivery
    - Partner with CyberSecurity and develop plans and automation to respond to new risks and vulnerabilities
- _Resiliency Engineering_
    - Collaborate with dev teams to identify failure points and blast radius of systems
    - Validate the effectiveness of monitoring and observability configurations
    - Coordinate failure injection testing
    - Observe and document steady state production levels, growth patterns
    - Plan and forecast for seasonal growth, communicate trend lines with leadership, enhance infrastructure scaling plans to accommodate 2x planned load
    - Coordinate improvements of existing software and infrastructure to meet resiliency goals
- Mentor and nurture engineers across varying levels of experience; foster growth by setting high-reaching goals, and providing support to achieve them.
- Ability to expand and collaborate across different levels and stakeholder groups.
- Documents and shares knowledge within the organization via internal forums and communities of practice.
- Good to have Kubernetes experience, EKS or managed their own Kubernetes clusters
    - Must have used terraform to create infrastructure within AWS. Must bring an automation-first mindset to the team.
    - On-call participation required. Person will lead triage bridges when necessary
    - Will be expected to monitoring customer experience, application metrics like golden signals/KPIs and infrastructure health.
    - Needs to work proactively across team boundaries on a daily basis.

**Qualifications**
- Experience as a software engineer, with practical experience developing, debugging, and deploying enterprise applications
- Experience with infrastructure automation technologies, preferably Terraform
- Experience in container/container-fleet-orchestration technologies, preferably EKS or ECS
- Versatility with troubleshooting diverse sets of hosting technologies:  web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms.
- Experience with continuous-deployment based software development lifecycles (e.g. CI/CD)
- Experience with application caching strategies and high concurrency workloads
- Strong communication, problem solving, root cause analysis and systems engineering skills
- Ability to design and manage escalation response plans from monitoring, react, respond, remediate and retrospect in culturally aligned (proactive, customer focused, collaborative, data-driven) ways.
- Demonstrated expertise building and managing highly scaled production infrastructure in the cloud
- BS Degree in Computer Science (or related technical field and/or equivalent industry experience)

8094 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8093 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8092 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8091 - Site Reliability Engineer Cloud, Infrastructure and ITOps

8090 - Site Reliability Engineer Cloud, Infrastructure and ITOps

**Service Delivery (Senior)**
Job Description (New):
As a Service Delivery Eng, you will care about telemetry, cost, security, performance and reliability in infrastructure. You will collaborate in a DevOps model with product development teams; designing, deploying and managing automation tools that increase predictability as well as time to market while reducing cost. You will be accountable for change control processes and review/approve all production change requests. You will participate in an on-call schedule in a weekly rotation.
Key Responsibilities:
Coordinate and Enable
- Act as a concierge to unblock any team member in the SRE practice
- Own change management procedures and controls, lead CAB meetings to discuss change scope and/or roadblocks
- Define and implement operational and escalation procedures
- Maintain and govern ITIL severity ranking guidelines
- you will be responsible to join, lead, communicate and coordinate the troubleshooting and resolution of all High-Severity incidents affecting McGraw-Hill that occur during your on-call schedule

Document and Organize
- Act as an information conduit for work intake into the team, and status/tracking of all team projects to various stakeholders.
- Measure and monitor progress of team and project deliverables, that they are delivered on-time within budget, and that they meet or exceed expectations
- Documents projects, establishing success criteria, cost constraints, goal state, and roadmap plan for execution
- Produce RunBooks, Play books, and release plans, and validate accuracy of playbooks through chaos engineering simulations
- Define SRE practice KPI and service metrics, and provide weekly/monthly/ytd status reporting on them
- Mitigate risk around timeline, environments, and projects
- Track Actions and Outcomes of the RCA. Responsible for ensuring that the RCA process is conducted correctly and ensuring demonstrable outcomes of positive change to prevent future issues.

Advocate and Influence
- Motive the team to constantly improve performance, scalability, extensibility, reliability, availability and usability of our services and platforms
- Promote a DevOps culture achieved through process efficiency and service reliability, and advanced capabilities such as blue-green, canary, and rolling deployments
- Work closely with engineering management to synthesize and define ideas into themes, epics, and stories.
- Manage relationships and coordinate work between different teams and team members at various remote locations

Design and Automate
- Develop automation tools and scripts to reduce toil
- Research new software development and configuration management methodologies and technologies, and investigate their application to current needs

Running ITIL and Agile based IT process to maintain and improve business alignment and promoting business agility. Following is the process wise activities we are currently performing.
Incident Management:
- Always be available with proper resources to address major incidents.
- Managing P1/MP2 with response time less than 5 minutes.
- Provide periodic status/progress updates and post status page notifications if needed.
- Coordinate and collaborate with all required teams, and drive incident to resolution.
- Effectively managing the 24 x 7 window through follow the Sun model.
- Sharing critical incident reports with respective teams in advance for better BTS planning.
- Shared 500+ incident analysis reports with the business team.
- Review and update DLs and communication channels for incident updates.

Change Management:
- Hosting and running CAB, reviewing, and approving the change tickets.
- Proactively raise a flag for downtime/schedule maintenance and configure Status page update.
- Review Emergency changes and approve it for resolving critical incidents.
- Monitor Change queue and approve all changes periodically (Every hour).
- Promote Change management process adherence through training and awareness sessions.
- Review and approve Minor changes.
- Manage 24x7 Change Manager availability to facilitate business for rapid production deployments.
- Conduct Change failure review, identify and implement improvements to prevent recurrence.
- Review and update DLs to ensure Change communication reaches to the right stakeholders.

Problem Management /RCA:
- Improved RCA process. Now creating and filling the RCA with basic details on the same day of incident resolution.
- Review details from JIRA tickets, slack channels, and confluence, populate RCA document.
- Coordinate with the respective stake holders to identify and document the root cause and action items/lessons learnt in the RCA document.
- Flag any repetitive incidents and coordinate to eradicate the Root cause to prevent recurrence.
- Driving Problem Management and RCA call and ensuring the action items are derived, assigned, and acted upon on time.
- Analyzing RCA and sharing monthly report with the business.
- Review open problem tickets regularly and close them.

Reporting: Daily:
- Update Connect and ConnectED Cumulative Usage report daily.

Weekly:
- Prepare and provide Incident Summary report.

Monthly:
- Prepare and share K12 and HE P1/MP2 report.
- Prepare and share MOR reports .

Tools Management:
- Review the Incident in Exigence and close the resolved incident with proper closure and impact notes.
- Maintain configuration of Incident and Major Incident Management tools (Exigence, PagerDuty, Slack, ServiceNow)
- Identify and implement improvement areas w.r.t. tool configuration and functionality improvement. Status page update, RCA template in Exigence, Slack – ServiceNow integration are some of the examples.

Roster Management:
- Keep on-call rosters updated in Exigence for CXG, DTS and SDM teams

Process improvements / New projects:
- Identify and implement process improvement. Regular Problem ticket review, RCA analysis, updating DLs, Monitoring process etc.
- ServiceNow – Slack integration implemented in PROD with training documentation.
- Explored ‘ServiceNow for Slack’, configured and tested it
- Explored creating a workflow, customized the form and integrated it with ‘ServiceNow for Slack’ tool and ServiceNow and tested against all use cases
- Explored using ‘Now Virtual Agent’ tool and ServiceNow virtual Agent (ServiceNow bot) and tested it against all use cases.
- Exigence – JIRA integration to create and assign JIRA for RCA action items from Exigence.
- Practice of creating a Triage incident so that non P1/MP2 issues can be spotted and coordinated and communicated immediately through Slack and if required, can be converted to P1/MP2.
- RCA call for DPG issues, documentation improvements, process documentation and training are some of the initiatives identified and started working upon.

Software Development:
- Investigates, refines, and develops Slack integrations to optimize the tool integration points through automation to maximize developer and SRE productivity.
- Develops CircleCI/GitHubAction automation points to ensure proper change control for production changes are followed

Service Delivery Cloud, Infrastructure and ITOps

8088 - Service Delivery Cloud, Infrastructure and ITOps

# Overview
This role is a senior level Data Engineer and Full Stack BI or Analytics Platform Engineer responsible for building a new analytics ecosystem from the ground up. The environment is truly greenfield with a very small team, so the ideal candidate must be technically exceptional, comfortable with ambiguity, and able to operate at a Lead level. This role will design, build, and scale the data platform including orchestration, transformations, data warehousing, and analytical experiences across Databricks, Zoho, Qlik, and related technologies. The engineer will guide architecture, establish best practices, and collaborate closely with product and business stakeholders to enable a modern, high quality analytics capability.
# Required Skills
- Strong hands on expertise in data engineering including orchestration, ETL or ELT, and scalable transformation pipelines
- Advanced experience designing and building cloud based data warehouses or lakehouses
- Ability to lead greenfield data platform development including architecture and foundational design decisions
- Strong proficiency in building analytical or BI experiences end to end
- Experience operating in high ambiguity environments and providing technical leadership to small teams
- Ability to collaborate closely with cross functional partners and translate requirements into high quality data products
- Exceptional skill across the full data lifecycle including ingestion, modeling, transformation, quality, and delivery

# Preferred Skills
- Experience with Databricks or similar lakehouse or Spark environments
- Familiarity with **Zoho, Qlik, or comparable BI** and analytics tools
- Background in designing and enabling self service analytics experiences
- Strong familiarity with modern data stack tooling for orchestration, automation, and monitoring
- Experience in early stage, greenfield, or startup style environments

# General
**Education**
- Bachelor’s degree in computer science, information systems, engineering, or a related field
- Advanced degree or relevant certifications (Azure, Databricks, or BI tools) are a plus
- Typically eight plus years of experience in data engineering, analytics engineering, or BI platform engineering
- Proven experience delivering data platforms or warehouses from the ground up
- Demonstrated ability to drive clarity, structure, and high quality outcomes in environments where little exists initially

8083 - Data Engineer Data

## JR3736
**SENIOR WEB DEVELOPER (.NET)**
_What We Need:_
- Solid .NET experience with fullstack web development
- Experience with JavaScript frameworks (we use Angular; knowledge of React, Vue, or similar is acceptable)
- Comfortable with basic front-end development tasks
- Can independently own features from design through deployment
- Strong understanding of design patterns and code maintainability
- Focus on API performance and writing scalable code
- Able to mentor intermediate/junior developers

_Projects:_
- **Crypto Product**: Implementing features for new external integrations and product functionality
- **Self-Directed Trading**: Enhancing existing features while maintaining code quality and performance

_Must Have:_
- Writes clean, readable code with minimal guidance
- Understands scalability patterns and when to apply them
- Performance-conscious development practices
- Can navigate and improve existing codebases
- Participates actively in code reviews and technical discussions

8082 - C# C#

**JR3734**
**--**
**LEAD WEB DEVELOPER (.NET)**
_What We Need:_
- Strong .NET expertise with fullstack web development
- Experience with JavaScript frameworks (we use Angular; knowledge of React, Vue, or similar is acceptable)
- Not a UI expert role, but should handle basic front-end development when needed
- Experience with both greenfield development AND enhancing existing codebases
- Obsessed with API performance and scalability
- Expert in design patterns that promote clean, readable, maintainable code
- Able to mentor team members and drive technical decisions

_Projects:_
- **Crypto Product (Greenfield)**: New product launch requiring external integration architecture from scratch
- **Self-Directed Trading Enhancements**: Understanding existing business logic and implementing scalable improvements

_Must Have:_
- Solutions-oriented approach to code readability
- Architecture patterns for scalable systems
- Performance optimization mindset
- Ability to work in both new and legacy codebases
- Leadership in code reviews and technical direction

8081 - C# C#

### Full Stack Web Software Engineer
**Requirements:**
- 5+ years of experience as a software engineer, with both frontend and backend skills at a large company
- Extensive experience with React, JavaScript, CSS, and Styled Components
- Experience with or willingness to learn TypeScript
- Extensive experience with Ruby on Rails and scaling Rails with PostgreSQL databases
- Experience with GraphQL APIs including: Apollo, schema design, and best practices
- Experience with git workflows, GitHub, and pull request reviews
- Strong collaboration skills, including partnering with designers, and other engineers across web and mobile
- Strong communication skills, both verbal and written, with the ability to articulate effectively across technical and non-technical partners
- Strong analytical skills

**Nice to haves:**
- Experience with Kafka, Redis, and consuming or emitting messages to communicate across systems
- Understanding of the resilient distributed service architecture model
- Experience with NextJS or similar Node runtime JS full-stack frameworks
- Experience working with feature flags or gated features
- Experience with Percy and browser testing with CI tooling
- Experience with Datadog or similar cloud monitoring and observability tool
- Experience with Bugsnag or similar error monitoring and reporting tool

Ruby Ruby

8066 - Ruby Ruby

**JR3673**
---

**About This Job**
Designs, develops, and maintains software applications. Leads a team of developers, provides technical guidance, and ensures project deadlines are met. Collaborates with cross-functional teams to identify and solve complex software problems. Stays up-to-date with emerging trends and technologies in software development.
Responsibilities:
- Designing, modifying, developing, writing and implementing software programming applications for the clearing platform.
- Writing source codes for new applications, and/or generating and enhancing code samples for existing applications.
- Utilizing automated testing tools to perform the testing and maintenance.
- Acquiring client requirements; resolving workflow problems through automation optimization.
- Partner with Product, Project, QA, DevOps, and Support teams to release high-quality software and ensure its reliable operation in production
- Maintaining Bank Security Standards and passing Audit requirements on Software
- Coach team members and help them in their work
- Able to lead when needed and support up
- Strong in designing reusable generic modules and components

**Requirements:**
- Bachelor’s degree in MIS, Computer Science or a related field OR equivalent training and experience
- 4+ years' experience building production applications
- Technology – GoLang, Java

8028 - Go JavaScript

**UX Designer - Job Description**
We are looking for a user experience designer responsible for conceiving and conducting user research, interviews, and surveys, and translating them into sitemaps, wireframes, and prototypes. You will also design the overall functionality of the product and iterate upon it to ensure a great user experience.

**Responsibilities**
- Translate concepts into wireframes and mockups that lead to intuitive user experiences.
- Facilitate clients’ product visions by researching, conceiving, wireframing, sketching, prototyping, and mocking up user experiences for digital products.
- Design and deliver wireframes, user stories, user journeys, and mockups optimized for a wide range of devices and interfaces.
- Identify design problems and devise elegant solutions.
- Make strategic design and user experience decisions related to core and new functions and features.
- Take a user-centered design approach and rapidly test and iterate your designs.
- Collaborate with other team members and stakeholders.

**Requirements**
- Preference will be given to candidates who have experience designing complex solutions for complete digital environments.
- Expertise in UX and design software (Figma is a must). Basic HTML5, CSS3, and JavaScript skills are a plus but not required
- Ability to work with stakeholders to understand detailed requirements and design complete user experiences that meet client needs and vision.
- Experience in using UX design best practices to design solutions, with a deep understanding of mobile and responsive design.
- A solid grasp of user-centered design and testing methodologies, subsystems, usability, and accessibility concerns.
- Ability to iterate your designs and solutions efficiently and intelligently.
- Ability to clearly and effectively communicate design processes, ideas, and solutions to teams and clients.
- A clear understanding of the importance of user-centered design.
- Be excited about collaborating and communicating closely with teams and other stakeholders via a distributed model to regularly deliver design solutions for approval.
- Be willing to help teammates, share knowledge and experience with them, and learn from them.
- Be open to receiving feedback and constructive criticism.
- Be passionate about all things UX and other areas of design and innovation. Research and showcase knowledge of the industry’s latest trends and technologies.

Design UX/UI Digital Design

7954 - Design UX/UI Digital Design

**Observability Lead Engineer**


**SUMMARY:**

- Candidate needs expertise in either New Relic or Datadog - Focus on implementation and setup, Understand instrumentation and full alerting > monitoring aspects of the product
- Candidates needs 3 to 5 years experience leading a SRE team - focus will be and building SRE standards and Governance and supporting teams in implementation and maintaining governance.
- Candidates needs to be able to demonstrate where they have implemented SRE policies and deployed New Relic or Datadog in Production. How did they formulate, publish and gain adoption of policies. Also need to be able to articulate how they have worked with DevOps teams to understand there requirements and how they delivered.
- AWS, Terraform and Python are Mandatory and need to go in hand with the above




We are hiring a **Lead Observability Engineer** who will lead and build a team responsible for research, design, and administration our observability posture in support of our mission to protect and improve our customer platforms, with an ever-watchful eye on
reliability, security, performance, cost, and operational excellence.

Are you looking for a career that makes a positive difference in your life and also in the lives of learners and educators across the globe? We believe in inspiring educators and unlocking the potential in every student. Our adaptive learning platforms utilize AI to offer recommendations, remediations and more to better the outcomes of students around the globe.

Think of it, when someone asks you what you do for a living you could say; “I work on software platforms that help the world’s youth learn”. Talk about a rewarding way to use your engineering skills!
If you have an automation mindset, know AWS, know New Relic, know Datadog, understand how to improve a company’s observability maturity and posture, have worked on containerized distributed systems, like to solve engineering problems and lead by example then you will thrive
here

**About you:**
• You are a strong communicator, both verbally and written. (English)
• You take ownership for the quality of your individual efforts but also in what your team
delivers; your focus is on a successful outcome for all.
• You automate wherever and whenever it makes sense to reduce toil and promote
repeatability
• You are an engineer first, but can think like a Product Manager, Customer, Developer, or
Business Leader when required.
• You can architect cloud/observability solutions and offer suggestions/recommendations
on how infrastructure or applications should be designed.
• You treat people with respect, have a good sense of humor and are non-abrasive.
• You are constantly reading and learning. You know that knowledge is power.

**Qualifications**
• You have experience leading a successful team of engineers, delegating and prioritizing
work, ensuring work completion and managing humans.
• Experience as a Software Engineer, Software Developer in Test, SRE, or Devops
Engineer with practical experience developing and supporting enterprise applications
• Experience with infrastructure automation technologies like Terraform
• Expertise in container/container-fleet-orchestration technologies, specifically ECS and
EKS• Versatility with troubleshooting diverse sets of hosting technologies: web server
platforms, application platforms, operating systems, network components, virtualization
technologies, storage, and database platforms. Can understand the full stack and are able
to traverse the layers during debugging to understand where the failure point is.
• Expertise with continuous-deployment based software development lifecycles (e.g.
CI/CD)
• Cloud database operations and deployment experience (RDS MySQL/Postgres/Aurora)
• Experience with application caching strategies and high concurrency workloads
• Expertise with Lean/Agile deployment processes (Blue/Green, ZDT, Canary, load
balancers/DNS strategies)
• Familiarity with telemetry SaaS systems like New Relic, Datadog, Dynatrace or other
similar observability platform.
• Ability to design and manage escalation response plans from monitoring, react, respond,
remediate and retrospect in culturally aligned (proactive, customer focused, collaborative,
data-driven) ways.
• Demonstrated expertise building and managing highly scaled production infrastructure in
the cloud

**Nice to Have**
• Being able to translate between development, operations, security, product, and
management dialects.
• We are a polyglot organization. Being “conversational” in JavaScript/TypeScript,
Python, PHP, Ruby, Golang, Java, Bash, Markdown, reStructuredText, HCL, JSON,
YAML, and TOML is a huge plus.
• BS Degree in Computer Science (or related technical field and/or equivalent industry
experience) preferred

**Your contributions**
• **as a leader**
o Leading a ~3-5 member, cross-functional, Site Reliability Engineering team
tasked with supporting production infrastructure and web services.
o Collaborating in a DevOps-ish model with product development teams; designing,
deploying, and managing solutions that expedite our business objectives.
o Overseeing the planning, prioritization, and execution of SRE projects and
initiatives.
o Backlog management, Story groooming, Sprint Planning. Team velocity tracking
and process adherence.
o Building and maintaining good relationships with supported development teams.
o Ensuring leadership is informed and aware of all things they need to be aware of.
o Conducting Monthly Review calls to report up status, issues, etc. to leadership.
o Ensuring team has cost consciousness in everything they do. Reviewing spend
and recommending improvements.o Owning reliability, uptime, system security, cost, operations, capacity planning,
resiliency and performance of all services under team’s purview.
o Defining, monitoring and reporting on service level indicators (SLOs) for
applications workloads
o Supporting/Planning on-call rotations for operational duties that have not been
addressed with automation, with an eye for correcting issues that result in on-call
alerts to reduce alert fatigue
o Planning and forecasting for seasonal growth, communicating trend lines with
leadership, enhancing infrastructure scaling plans
o Mentoring and nurturing engineers across varying levels of experience; fostering
growth by setting goals and providing support as needed to achieve them.
o Identifying highest-impact opportunities to optimize existing systems; ensuring
“right-sized” solutions in consideration of technical and business constraints
o Coordinating improvements of existing software and infrastructure to meet
resiliency goals
o Partner with CyberSecurity and develop plans and automation to respond to new
risks and vulnerabilities
o Collaborate with dev teams to identify failure points and blast radius of systems
o Coordinate failure injection and chaos testing efforts
o Staying updated on industry best practices, emerging technologies, trends relevant
to reliability engineering, and new tooling that could help improve our processes
and outcomes

• **as a contributor**
o Hands-on design, analysis, development and troubleshooting of highly-distributed
large-scale production systems and event-driven, cloud-based services
o Ensure repeatability, traceability, and transparency of our infrastructure
automation (infrastructure-as-code, monitoring-as-code)
o Collaborative solutioning of enterprise applications with development teams
o Define, monitor and report on service level indicators for applications workloads
o Support on-call rotations for operational duties that have not been addressed with
automation, with an eye for correcting issues that result in on-call alarms
o Maintain telemetry that improve the visibility to our applications' performance
and business metrics and keep operational workload in-check
o Develop, communicate, collaborate, and monitor standard processes to promote
the long-term health and sustainability of operational development tasks.
o Support healthy software development practices, including complying with agile
software development methodology, performing code reviews, work packaging,
and continuous delivery
o Observe and document steady state production levels, growth patterns
o Coordinate improvements of existing software and infrastructure to meet
resiliency goals
o Terraform project creation, updates, maintenance, decommissions
o Alert/Monitoring creation, updates, maintenance, decommissions
o Any other project work that comes in. You will be the team lead but will be
expected to add individual contributor value as well.
• _Observability General_o Actively monitor platform cost (Datadog, New Relic) and identify cost savings
measures without reducing tool effectiveness.
o Ownership of reliability, uptime, system security, cost, operations, capacity,
resiliency and performance-analysis thereof of any components that are involved
in observability.
o Define proper alerts/monitors/dashboards for monitoring platform costs to be able
to intervene and fix misconfigurations detected that would drive up observability
costs.
o Maintain telemetry that improve the visibility to our applications' performance
and business metrics and keep operational workload in-check
o Collaborate with dev teams to identify and catalog effectiveness of monitoring
and observability configurations
o Observe and document steady state production levels, growth patterns within the
tools and assist DPG leadership in forecasting future tool license needs
o Monitor the current age and recommendations of New Relic and Data Dog
regarding critical patches and updates to client agents, and as part of the Cloud
Engineering team, ensure that the updates are tested and then pushed out via
automated AMI updates where appropriate.
• _Platform Administration_
o Manage user access, with an eye toward least privileged access, and appropriate
grouping rules to foster collaboration and understanding.
o Work with development teams and SREs when onboarding new applications into
the tools, to ensure that best practices are met and complied with.
o Define best practices with a continual learning model of studying feedback loops
that the tools provide, dropping used features, and advocating for the ones that
add value.
o Track consumption against license costs, and forcast future growth reduction both
in support of fiscal year budget planning as well as contract renewal.
o Analyze event attributes and determine where there is unnecessary, redundant or
unwanted data on a metric or event record and utilize drop filters to reduce, and
eventually reduce at source
o Set the sample rates appropriately for event collection frequency and sample size
to achieve targets for data consumption
• _Training and Advocacy_
o Collaborate with vendors to identify the best training modules suited for our team's consumption
o Work directly with dev teams when auditing their use of the tool, to facilitate
education into proper tool usage and maximize developer value of the tool.
o Solicit feedback from developers and users of the tools to understand common
usage behavior, pain points, and need, and translates that into actionable feedback
for the vendors and work to improve product capabilities as advocates on our
behalf.

**New Relic:**• Be an expert in data management. Understand which accounts, applications are contributing to the data ingest load and validate that the data being sent in is actually useful. Proactively monitor ingest patterns and develop a preditive model to determine
what an appropriate monthly allowance should be that accounts for the cyclical usage patterns in a typical US education semester pattern.

• Maintain that the OKTA saml integration that automates user provisioning and
deprovisioning. Audit the requests from our tools to grant licenses and keep track of
which BU they are with (DPG, A3K, GTS) so that we can begin charging back Full
users. Basic users are free and do not require auditing. Keep track of “last active” date
and keep us under 500 “Full Platform” users. (at 476 at the time of this writing)
• Disable or actively rejet “invite users”. We want all user onboarding to happen through
out tools.
• Audit and refine the RBAC controls (Access Management) inside New Relic. Make sure
that we empower users but also prevent them from accidentally causing excessive data
ingest.
• Audit and track API keys. Learn who uses then and for what purpose. Develop and
maintain a process for key rotation
• Integrations? There’s a ton of stuff here. Needs reserach and recommendations for how
we leverage w/o blowing up data ingest.
• Domain Management: https://onenr.io/0dQebAPLYwe What is this? Should we be using
it?
• Workloads: These are useful prebuilt dashboards, and NR’s attempt to minic DD
“Service Catalog”. poorly. But let’s make sure we are using them effectively as they are
intended to be the “guided tour” of team ownership of applications, and I expect the
“view” to be used to allow novice users to quickly browser and understand metrics, then
find dashboards and runbooks.

• Drop Filters
o This is an extensive topic, but in short you can write a select query that identifies
specific attributes, metrics, or events and on the ingestion of data into the edge of
new relic, we can “drop” specific data elements. This is the primary way that
SREs can manage our ingest budgets without having to continually release
changes at the shipper. This is an advantage that New Relic has over DataDog
because in NR the data is dropped before ingest billing is calculated, and in
DataDog, it is dropped AFTER the initial ingest (but prior to storage) is
calcualted. Thus, this is a feature the observability engineer must know intimately.
o Using NerdGraph: There are areas inside New Relic that can only be managed via
GraphQL. The OE will need to be a master of this API and understand the
nuances in order to script automation to mange the various facets of new relic. It
is always preferrable to craft repeatable scripts that can be trigged off of
ServiceNow integration for various activities over manual steps.

• Synthetics:
o Understand and advise on which type of test is appropriate.
o Record, Edit, assert, and replay synthetic tests to ensure they are useful and
consistent for uptime SLO measurements, as well as incident escalation.
o Manage our fleet of private locations (minions) and ensure they are upgrade with
the latest headless runtimes• Apps
o We have several third party apps installed, and these require periodic upgrades
and lifecycle maintenance.
o Research newly available apps as part of R&D to determine if they would add
value to the SRE practice or aid in developers. Alongside the training above, the
OE would provide periodic “Show & tells” of new features in New Relic that may
benefit our company.

• Infinite Tracing
o Understand and recommend data implications of using this feature to ensure that
the budget is adhered to, and consequences/benefits of using this style of trace
ingest vs. standard.

• Error reporting and collections
o Understand and advocate for correlation and escalation of errors within this tool.
• Service Levels
o We have adopted SLO/SLI and thus full built out service levels. The OE is
responsible for auditing and validating that appropriate service levels are set for
all key applications. They do this by working with SRE teams to understand top
applications.

**DataDog**:
• Track and refine overall Log Ingestion Configuration. Define standards aroudn retention
rules and indexes, and implications of data rehydration.

**Understand pillars of observability:**
• Metrics - numerical representations of data that are measured over time intervals
• Logs - a system-generated record of data
• Traces - the end-to-end journey of a transaction within the system

**Understand our systems, technologies and dependencies**
• understand the technologies and architectures in use
• learn how request flow through system
• learn dependencies between systems
• learn what makes these items observable
• observe and monitor while minimizing overlap, waste and spend

**Data prep, routing, parsing, enrichment, storage**
• get the _right_ data from source to destination quickly and efficiently
• vendor agnostic solution to store, route, parse, enrich and/or filter our data before sending
to observability platform (future)**Tool Configuration and Administration**
• user provisioning and permissions (e.g. okta, rbac)
• agent configuration and deployment (e.g. apm, infra, sampling rates)
• 3rd party integrations (e.g. aws, azure, sampling and polling rates)
• log shippers (e.g. ecs, k8s, lambda, standalone, kinesis)
• understand system limits (e.g. api limits, logging limits, ingestion limits, parsing limits)
• pipelines, parsers, processors, indexes, custom metrics, remappers, archives, facets,
views, dashboards,
• monitor usage and spend continuously
• automate setup and configuration through automation

**Features**
• Understand the feature set of each tool we use (e.g. apm, infra, network, storage,
integrations, dashboards, monitoring)
• learn how to use them effectively and efficiently (e.g. sampling rates)
• make recommendations to teams and DPG
• suggest recommended training
• Pay attention to observability trends, tools, features and approaches

**Monitoring and Alerting**
• learn how to use dashboards and alerting effectively
• educate teams on how to build informative, succinct and actionable dashboards
• educate teams on how to build actionable alerts
• learn and advocate for monitoring as code
• help us arrive at a common MaC solution
• ensure necessary integrations are present and functional (e.g. slack, pagerduty)
• produce dashboards that shows alert volume by platform, application and team
• help teams establish SLOs

**Data Ingestion and Spend Analysis**
• understand the end-to-end cost of shipping a GB of data from both a cloud hosting and
observability platform
• help establish and enforce minimum tagging standards so we can visualize our data
ingestion and spend• build monitoring an alerting on both on ingestion and spend to proactively catch
inefficient and unnecessary ingestion
• make this information visible to teams and management through dashboards and reports
• use historical data to help forecast future needs and spend
• understand the cost models used by new relic, data dog and amazon
• understand different types of data being ingested (e.g. metric, transaction, spans, logging,
system, process, network, storage, synthetic, integrations)
• examine logs and data for sensitive information

**Ongoing Team Support**
• provide best practices to teams (e.g. use allow/exclusion lists, don’t send in data about
every running process when you are interested in only one)
• provide suggested training paths for tools and features
• help answer questions within support channels (e.g. distributed tracing vs transactions)
• help teams establish proper SLOs

**Vendor Management**
• review ongoing issues with them
• advocate for new features
• attend quarterly business review meeting

**Future**
• help inform our observability roadmap
• how to leverage “AI” tooling being offered by each vendor
• set up a central observability aws account which allows us to monitor resources and logs
across aws accounts
• find a vendor agnostic solution like ?? that helps us route, parse, enrich, filter and drop
our logs before shipping up to observability tool

7946 - Site Reliability Engineer Cloud, Infrastructure and ITOps

7941 - Site Reliability Engineer Cloud, Infrastructure and ITOps

**Lead Go Developer**
**Technical Expectations**
**Hard Skills**
● 7 years, in Software Engineering or a related Engineering field
● Experience creating REST or REST-like API’s
● Proficient with Goroutines, Go channel patterns, and concurrency, and pointers.
● Experience working in a distributed cloud-based system.
● Experience working with different SQL and NoSQL variants. PostgreSQL and Redis preferred.
● Experience with ORM tools like SQLC
● Kafka or other streaming/messaging experience
● Identity management experience such as OAuth, SAML, LDAP
● “Idiomatic” Go
● Experience writing/running unit tests
● Previous experience with 3rd party integrations
● Experience with monitoring and tracing

**Nice to have:**
● Temporal/Workflow Orchestration
● Background Processing such as River/Goworker

**Senior Software Engineer minimum expectations plus the following:**
● Experience working remotely (accountability, self-starter, good written communication and ability to work through blocks)
● Leads teams, designs projects with larger complexities.
● Responsible for training and directing any less experienced people on their team.
● Experience with multiple programming languages: Ruby/Rails would be the best secondary language/framework with Python also being a good segue to Ruby
● Experience with supporting and troubleshooting live systems.
● Leads technical discussions.
● Actively keeps abreast of latest technologies and frameworks.
● Can identify technical debt and create a plan to combat it.
● Can refactor and implement architectural patterns within an application.
● Experience with Application Performance Management (APM).
● Experience in working closely with product stakeholders to assist with requirements gathering, story creation and work estimation.
● Can ensure user stories are properly defined and reviewed from a technical standpoint.
● Experience in running agile practices in lieu of a Scrum Master.
● Influences usage of automated testing as a first-class concern.
● Works with stakeholders to ensure projects have adequate test and rollout plans

**Soft Skills**

Collaboration & Teamwork
● Contributes to team discussions when appropriate, supports team decisions, helps out where possible.
● Encourages participation from other employees.

Communication
● Communicates clearly, professionally and in a timely manner in both verbal and written form with internal and external stakeholders.
● Is experienced and comfortable working directly with clients.
● Can communicate bad news when necessary.

Continuous Improvement
● Comfortable and familiar with giving and receiving feedback, in the context of both code reviews and interpersonal professional development.
● Furthers tech interests by attending meetups, workshops, events and/or watching conference talks and/or reading material online.

Continuous Delivery
● Delivers value early and often
● Reduces Risk by introducing changes slowly through concepts like feature flags, canary builds, and other approaches.

Curiosity
● Continual learner, enjoys learning, asks why.

Customer Focus
● Strives to exceed the expectations and requirements of internal and external customers, without over engineering or succumbing to scope creep.
● Acts with customers in mind and values the importance of providing high quality customer service.
● Makes clients aware of pitfalls within designs.

Prioritization
● Priority decisions will usually be right, sometimes adjusted with leadership input.
● Ability to adopt a methodical approach, managing multiple tasks simultaneously whilst maintaining a high level of accuracy in all work carried out.

Problem Solving
● Can decompose issues and pick the most efficient and effective approach within the given circumstances, is tool-agnostic.

Supervision
● Works independently with minimal oversight, seeks input when needed from Principals.
● Can oversee the work of others.

Working Within Ambiguity
● Proficient, moves through uncertainty toward action, will act with incomplete information while also taking steps to fill in the blanks.

Understands Vision and Architecture
● Understands longer term vision and can iterate systems toward a vision through smaller incremental changes
● Works with existing Principles and/or Architects to ensure vision is realized.